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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #100
DNA: Domain Generalization with Diversified Neural Averaging
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #102
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #104
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #106
Channel Importance Matters in Few-Shot Image Classification
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #231
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #108
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #110
Certified Robustness Against Natural Language Attacks by Causal Intervention
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #112
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #114
On the Learning of Non-Autoregressive Transformers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #116
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #118
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #120
Black-Box Tuning for Language-Model-as-a-Service
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #122
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #124
Co-training Improves Prompt-based Learning for Large Language Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #126
Directed Acyclic Transformer for Non-Autoregressive Machine Translation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #128
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #133
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #131
Generative Cooperative Networks for Natural Language Generation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #129
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #127
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #125
Robust Group Synchronization via Quadratic Programming
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #123
UAST: Uncertainty-Aware Siamese Tracking
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #119
You Only Cut Once: Boosting Data Augmentation with a Single Cut
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #117
Generative Modeling for Multi-task Visual Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #115
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #113
Parametric Visual Program Induction with Function Modularization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #111
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #109
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #107
Neural Implicit Dictionary Learning via Mixture-of-Expert Training
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #105
Time Is MattEr: Temporal Self-supervision for Video Transformers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #208
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #210
Understanding The Robustness in Vision Transformers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #212
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #214
On the Effects of Artificial Data Modification
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #216
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #218
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #220
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #222
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #226
Describing Differences between Text Distributions with Natural Language
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #228
Distinguishing rule- and exemplar-based generalization in learning systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #230
Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #232
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #234
Minimizing Control for Credit Assignment with Strong Feedback
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #236
Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #237
Towards Scaling Difference Target Propagation by Learning Backprop Targets
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #235
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #233
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #229
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #227
Provably Adversarially Robust Nearest Prototype Classifiers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #225
Certifying Out-of-Domain Generalization for Blackbox Functions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #223
Intriguing Properties of Input-Dependent Randomized Smoothing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #221
To Smooth or Not? When Label Smoothing Meets Noisy Labels
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #219
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #217
On the Generalization Analysis of Adversarial Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #215
Demystifying the Adversarial Robustness of Random Transformation Defenses
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #213
Double Sampling Randomized Smoothing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #211
TPC: Transformation-Specific Smoothing for Point Cloud Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #209
Structural Entropy Guided Graph Hierarchical Pooling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #207
Self-Supervised Representation Learning via Latent Graph Prediction
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #205
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #203
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #201
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #300
Analyzing and Mitigating Interference in Neural Architecture Search
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #302
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #304
Unified Scaling Laws for Routed Language Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #306
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #308
A deep convolutional neural network that is invariant to time rescaling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #310
LyaNet: A Lyapunov Framework for Training Neural ODEs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #312
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #314
On Collective Robustness of Bagging Against Data Poisoning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #316
Hindering Adversarial Attacks with Implicit Neural Representations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Virtual #318
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #320
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #322
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #324
Controlling Conditional Language Models without Catastrophic Forgetting
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #326
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #328
Structure-preserving GANs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #330
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #332
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #334
Equivariant Diffusion for Molecule Generation in 3D
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #336
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #338
Conditional GANs with Auxiliary Discriminative Classifier
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #337
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #335
Matching Normalizing Flows and Probability Paths on Manifolds
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #333
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #331
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #329
Region-Based Semantic Factorization in GANs
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #327
Online Continual Learning through Mutual Information Maximization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #325
Learning Iterative Reasoning through Energy Minimization
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #323
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #321
PoF: Post-Training of Feature Extractor for Improving Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #319
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #317
Set Based Stochastic Subsampling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #315
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #313
Generalizing to New Physical Systems via Context-Informed Dynamics Model
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #311
Self-conditioning Pre-Trained Language Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #309
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #307
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #305
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #303
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #301
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #400
pathGCN: Learning General Graph Spatial Operators from Paths
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #402
Graph-Coupled Oscillator Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #404
HousE: Knowledge Graph Embedding with Householder Parameterization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #406
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #408
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #410
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #412
SpeqNets: Sparsity-aware permutation-equivariant graph networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #414
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #416
Position Prediction as an Effective Pretraining Strategy
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #418
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #420
Deep and Flexible Graph Neural Architecture Search
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #422
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #424
Large-Scale Graph Neural Architecture Search
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #426
Optimization-Induced Graph Implicit Nonlinear Diffusion
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #428
Prototype Based Classification from Hierarchy to Fairness
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #432
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #434
Deep Probability Estimation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #436
Uncertainty Modeling in Generative Compressed Sensing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #438
Going Deeper into Permutation-Sensitive Graph Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #439
Learning from Counterfactual Links for Link Prediction
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #437
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #435
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #431
Bit Prioritization in Variational Autoencoders via Progressive Coding
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #429
Generative Flow Networks for Discrete Probabilistic Modeling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #427
Diffusion bridges vector quantized variational autoencoders
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #425
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #423
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #421
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #419
Modeling Irregular Time Series with Continuous Recurrent Units
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #417
TACTiS: Transformer-Attentional Copulas for Time Series
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #415
CerDEQ: Certifiable Deep Equilibrium Model
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #413
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #411
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #409
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #407
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #405
Improving Language Models by Retrieving from Trillions of Tokens
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #403
Closed-Form Diffeomorphic Transformations for Time Series Alignment
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #401
Removing Batch Normalization Boosts Adversarial Training
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #500
Forget-free Continual Learning with Winning Subnetworks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #502
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #504
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #506
On the Practicality of Deterministic Epistemic Uncertainty
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #508
Combining Diverse Feature Priors
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #510
Multi-Task Learning as a Bargaining Game
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #512
Frustratingly Easy Transferability Estimation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #514
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #516
A Difference Standardization Method for Mutual Transfer Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #518
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #520
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #522
Sparse Invariant Risk Minimization
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #524
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #526
A Closer Look at Smoothness in Domain Adversarial Training
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #528
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #530
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #532
Zero-shot AutoML with Pretrained Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #534
Efficient Variance Reduction for Meta-learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #536
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #538
Partial disentanglement for domain adaptation
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #539
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #537
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #535
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #533
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #529
Meta-Learning Hypothesis Spaces for Sequential Decision-making
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #527
A Tighter Analysis of Spectral Clustering, and Beyond
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #525
Online Active Regression
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #523
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #521
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #519
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #517
Confidence Score for Source-Free Unsupervised Domain Adaptation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #515
Gradient Based Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #513
Global Optimization of K-Center Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #511
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #509
Coordinated Double Machine Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #507
Exploiting Independent Instruments: Identification and Distribution Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #505
Partial Counterfactual Identification from Observational and Experimental Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #503
On Measuring Causal Contributions via do-interventions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #501
The Role of Deconfounding in Meta-learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #600
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #602
Online Balanced Experimental Design
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #604
Minimum Cost Intervention Design for Causal Effect Identification
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #606
Causal structure-based root cause analysis of outliers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #608
Instrumental Variable Regression with Confounder Balancing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #610
Causal Transformer for Estimating Counterfactual Outcomes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #612
Causal Inference Through the Structural Causal Marginal Problem
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #614
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #616
Matching Learned Causal Effects of Neural Networks with Domain Priors
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #618
Inferring Cause and Effect in the Presence of Heteroscedastic Noise
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #620
Exact Optimal Accelerated Complexity for Fixed-Point Iterations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #622
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #624
NysADMM: faster composite convex optimization via low-rank approximation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #626
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #628
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #630
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #632
Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #634
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #636
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #638
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #639
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #637
Active Sampling for Min-Max Fairness
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #635
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #633
Stochastic Reweighted Gradient Descent
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #631
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #629
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #627
FedNL: Making Newton-Type Methods Applicable to Federated Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #625
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #623
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #621
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #619
Probabilistic Bilevel Coreset Selection
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #617
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #615
On Implicit Bias in Overparameterized Bilevel Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #613
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #611
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #609
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #607
Understanding the unstable convergence of gradient descent
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #605
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #603
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #601
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #700
AdaGrad Avoids Saddle Points
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #702
Fast and Provable Nonconvex Tensor RPCA
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #704
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #706
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #708
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #710
Anticorrelated Noise Injection for Improved Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #712
Tackling covariate shift with node-based Bayesian neural networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #714
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #716
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #718
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #720
Calibrated Learning to Defer with One-vs-All Classifiers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #722
Tractable Uncertainty for Structure Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #724
Path-Gradient Estimators for Continuous Normalizing Flows
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #726
Variational Feature Pyramid Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #728
Additive Gaussian Processes Revisited
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #732
Probabilistic ODE Solutions in Millions of Dimensions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #734
Adaptive Gaussian Process Change Point Detection
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #736
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #738
Fenrir: Physics-Enhanced Regression for Initial Value Problems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #739
Variational nearest neighbor Gaussian process
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #737
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #735
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #733
Bayesian Optimization under Stochastic Delayed Feedback
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #731
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #729
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #727
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #725
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #723
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #721
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #719
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #717
LSB: Local Self-Balancing MCMC in Discrete Spaces
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #715
A Langevin-like Sampler for Discrete Distributions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #711
Nonparametric Involutive Markov Chain Monte Carlo
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #709
Continual Repeated Annealed Flow Transport Monte Carlo
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #707
Algorithms for the Communication of Samples
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #705
Low-Precision Stochastic Gradient Langevin Dynamics
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #703
Fast Relative Entropy Coding with A* coding
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #701
Accurate Quantization of Measures via Interacting Particle-based Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #800
Dynamic Regret of Online Markov Decision Processes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #802
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #804
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #806
Provable Reinforcement Learning with a Short-Term Memory
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #808
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #810
Mirror Learning: A Unifying Framework of Policy Optimisation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #812
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #814
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #816
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #818
Langevin Monte Carlo for Contextual Bandits
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #820
Prompting Decision Transformer for Few-Shot Policy Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #824
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #826
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #828
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #830
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #832
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #834
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #836
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #838
Offline RL Policies Should Be Trained to be Adaptive
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #837
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #835
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #833
Supervised Off-Policy Ranking
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #829
The Primacy Bias in Deep Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #827
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #825
Model-Free Opponent Shaping
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #823
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #821
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #819
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #817
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #815
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #813
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #811
Self-Organized Polynomial-Time Coordination Graphs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #809
Individual Reward Assisted Multi-Agent Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #807
Generalized Beliefs for Cooperative AI
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #805
Greedy when Sure and Conservative when Uncertain about the Opponents
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #803
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #801
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #900
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #902
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #904
Differentially Private Approximate Quantiles
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #906
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #908
Robust Models Are More Interpretable Because Attributions Look Normal
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #910
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #912
A Joint Exponential Mechanism For Differentially Private Top-$k$
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #914
Transfer Learning In Differential Privacy's Hybrid-Model
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #916
Robust Kernel Density Estimation with Median-of-Means principle
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #918
Bounding Training Data Reconstruction in Private (Deep) Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #920
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #922
FriendlyCore: Practical Differentially Private Aggregation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #924
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #926
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #928
Public Data-Assisted Mirror Descent for Private Model Training
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #930
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #932
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #934
Meaningfully debugging model mistakes using conceptual counterfactual explanations
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #936
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #929
Robust Counterfactual Explanations for Tree-Based Ensembles
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #927
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #923
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #921
Framework for Evaluating Faithfulness of Local Explanations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #919
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #915
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #913
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #911
XAI for Transformers: Better Explanations through Conservative Propagation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #909
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #907
Interpretable Off-Policy Learning via Hyperbox Search
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #905
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #903
On the Adversarial Robustness of Causal Algorithmic Recourse
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1002
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1004
POEM: Out-of-Distribution Detection with Posterior Sampling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1006
Selective Network Linearization for Efficient Private Inference
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1008
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1010
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1012
Modular Conformal Calibration
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1014
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1018
Context-Aware Drift Detection
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1020
Accelerating Shapley Explanation via Contributive Cooperator Selection
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1022
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1026
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1028
Sample Efficient Learning of Predictors that Complement Humans
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1027
Online Learning for Min Sum Set Cover and Pandora’s Box
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1025
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1023
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1021
Thompson Sampling for (Combinatorial) Pure Exploration
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1019
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1017
Rotting Infinitely Many-Armed Bandits
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1013
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1011
Consistent Polyhedral Surrogates for Top-k Classification and Variants
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1009
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1007
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1001
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1003
Learning Mixtures of Linear Dynamical Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1106
Massively Parallel $k$-Means Clustering for Perturbation Resilient Instances
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1108
Residual-Based Sampling for Online Outlier-Robust PCA
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1110
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1112
Streaming Algorithms for Support-Aware Histograms
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1114
Power-Law Escape Rate of SGD
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1116
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1118
Faster Algorithms for Learning Convex Functions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1120
Feature selection using e-values
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1122
ActiveHedge: Hedge meets Active Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1124
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1126
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1125
Robustness Implies Generalization via Data-Dependent Generalization Bounds
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1123
Learning to Hash Robustly, Guaranteed
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1121
Policy Gradient Method For Robust Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1119
A query-optimal algorithm for finding counterfactuals
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1117
Linear Bandit Algorithms with Sublinear Time Complexity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1115
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1113
Individual Preference Stability for Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1111
Correlated Quantization for Distributed Mean Estimation and Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1109
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1107
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1101
The Algebraic Path Problem for Graph Metrics
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Virtual #1103
Steerable 3D Spherical Neurons
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1206
H-Consistency Bounds for Surrogate Loss Minimizers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1208
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1210
The Teaching Dimension of Regularized Kernel Learners
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1212
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1214
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1216
Multiclass learning with margin: exponential rates with no bias-variance trade-off
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1218
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1220
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1222
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1224
Inductive Biases and Variable Creation in Self-Attention Mechanisms
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1221
Topology-aware Generalization of Decentralized SGD
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1219
Understanding Gradient Descent on the Edge of Stability in Deep Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1217
Cooperative Online Learning in Stochastic and Adversarial MDPs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1215
Simple and near-optimal algorithms for hidden stratification and multi-group learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1213
Being Properly Improper
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1211
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1207
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1209
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1310
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1312
Minimax M-estimation under Adversarial Contamination
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1314
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1316
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1318
Boosting Graph Structure Learning with Dummy Nodes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1320
Lazy Estimation of Variable Importance for Large Neural Networks
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #100
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #102
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #104
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #106
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #108
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #110
Bayesian Imitation Learning for End-to-End Mobile Manipulation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #112
De novo mass spectrometry peptide sequencing with a transformer model
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #114
Learning inverse folding from millions of predicted structures
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #116
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #118
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #120
Proximal Exploration for Model-guided Protein Sequence Design
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #124
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #126
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #128
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #133
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #131
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #129
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #127
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #125
Generative Coarse-Graining of Molecular Conformations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #123
LIMO: Latent Inceptionism for Targeted Molecule Generation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #121
Learning to Separate Voices by Spatial Regions
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #119
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #117
3D Infomax improves GNNs for Molecular Property Prediction
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #115
Biological Sequence Design with GFlowNets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #113
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #111
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #109
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #107
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #105
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #208
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #210
Matching Structure for Dual Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #212
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #214
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #216
Inducing Causal Structure for Interpretable Neural Networks
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #218
SDQ: Stochastic Differentiable Quantization with Mixed Precision
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #220
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #222
Re-evaluating Word Mover's Distance
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #224
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #231
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #226
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #228
Symmetric Machine Theory of Mind
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #230
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #232
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #234
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #236
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #237
Towards understanding how momentum improves generalization in deep learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #235
What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #233
Deep equilibrium networks are sensitive to initialization statistics
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #229
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #227
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #225
Local Augmentation for Graph Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #223
On Non-local Convergence Analysis of Deep Linear Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #221
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #219
Diversified Adversarial Attacks based on Conjugate Gradient Method
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #217
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #215
On the Equivalence Between Temporal and Static Equivariant Graph Representations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #213
Robust Training under Label Noise by Over-parameterization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #211
Implicit Bias of the Step Size in Linear Diagonal Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #209
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #207
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #205
On Numerical Integration in Neural Ordinary Differential Equations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #203
Reverse Engineering the Neural Tangent Kernel
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #201
Principled Knowledge Extrapolation with GANs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #300
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #302
Data Augmentation as Feature Manipulation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #304
Convolutional and Residual Networks Provably Contain Lottery Tickets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #306
Feature Learning and Signal Propagation in Deep Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #308
Robust Training of Neural Networks Using Scale Invariant Architectures
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #310
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #312
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #314
Deep Network Approximation in Terms of Intrinsic Parameters
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #316
Coin Flipping Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #318
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #320
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #322
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #324
From data to functa: Your data point is a function and you can treat it like one
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #326
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #328
Differentiable Top-k Classification Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #330
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #332
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #334
Training Your Sparse Neural Network Better with Any Mask
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #336
Federated Learning with Positive and Unlabeled Data
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #338
Generating 3D Molecules for Target Protein Binding
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #337
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #335
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #333
Revisiting Consistency Regularization for Deep Partial Label Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #331
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #329
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #327
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #325
Multicoated Supermasks Enhance Hidden Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #323
Generating Distributional Adversarial Examples to Evade Statistical Detectors
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #321
Improving Out-of-Distribution Robustness via Selective Augmentation
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #319
Modeling Adversarial Noise for Adversarial Training
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #317
Improving Adversarial Robustness via Mutual Information Estimation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #315
FOCUS: Familiar Objects in Common and Uncommon Settings
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #313
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #311
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #309
A Dynamical System Perspective for Lipschitz Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #307
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #305
Neurotoxin: Durable Backdoors in Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #303
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #301
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #400
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #402
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #404
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #406
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #408
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #410
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #412
Modeling Structure with Undirected Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #414
Certified Neural Network Watermarks with Randomized Smoothing
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #416
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #418
Adversarial Vulnerability of Randomized Ensembles
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #420
Robustness Verification for Contrastive Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #422
The CLRS Algorithmic Reasoning Benchmark
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #424
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #426
Understanding Robust Generalization in Learning Regular Languages
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #428
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #432
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #434
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #436
Short-Term Plasticity Neurons Learning to Learn and Forget
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #438
$p$-Laplacian Based Graph Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #439
Equivariant Quantum Graph Circuits
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #437
A Theoretical Comparison of Graph Neural Network Extensions
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #435
Variational On-the-Fly Personalization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #433
Deep symbolic regression for recurrence prediction
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #431
Geometric Multimodal Contrastive Representation Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #429
Universality of Winning Tickets: A Renormalization Group Perspective
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #427
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #425
Loss Function Learning for Domain Generalization by Implicit Gradient
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #423
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #421
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #419
A Differential Entropy Estimator for Training Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #417
Scaling Out-of-Distribution Detection for Real-World Settings
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #415
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #413
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #411
The Infinite Contextual Graph Markov Model
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #409
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #407
Detached Error Feedback for Distributed SGD with Random Sparsification
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #405
Training OOD Detectors in their Natural Habitats
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #403
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #401
Neural Tangent Kernel Empowered Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #500
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #502
Adversarially trained neural representations are already as robust as biological neural representations
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #504
Feature Space Particle Inference for Neural Network Ensembles
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #506
A Study on the Ramanujan Graph Property of Winning Lottery Tickets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #508
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #510
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #512
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #514
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #516
Towards Understanding Sharpness-Aware Minimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #518
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #520
Implicit Bias of Linear Equivariant Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #522
The State of Sparse Training in Deep Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #524
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #526
Datamodels: Understanding Predictions with Data and Data with Predictions
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #528
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #530
Deep Causal Metric Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #532
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #534
Learning Symmetric Embeddings for Equivariant World Models
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Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #536
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #538
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #539
Auxiliary Learning with Joint Task and Data Scheduling
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #537
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #535
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
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Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #533
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #529
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #527
Weisfeiler-Lehman Meets Gromov-Wasserstein
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Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #525
GenLabel: Mixup Relabeling using Generative Models
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #523
When and How Mixup Improves Calibration
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Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #521
On Transportation of Mini-batches: A Hierarchical Approach
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #519
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #517
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #515
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #513
Stable Conformal Prediction Sets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #511
Rethinking Fano’s Inequality in Ensemble Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #509
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #507
Improving Mini-batch Optimal Transport via Partial Transportation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #505
Near-optimal rate of consistency for linear models with missing values
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #503
Permutation Search of Tensor Network Structures via Local Sampling
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Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #501
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #600
DNNR: Differential Nearest Neighbors Regression
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #602
HyperPrompt: Prompt-based Task-Conditioning of Transformers
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #604
Validating Causal Inference Methods
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #606
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #608
Scalable Deep Gaussian Markov Random Fields for General Graphs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #610
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #612
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #614
Decomposing Temporal High-Order Interactions via Latent ODEs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #616
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #618
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #620
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #622
Role-based Multiplex Network Embedding
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #624
Measure Estimation in the Barycentric Coding Model
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #626
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #628
Counterfactual Transportability: A Formal Approach
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #630
Identification of Linear Non-Gaussian Latent Hierarchical Structure
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #632
COAT: Measuring Object Compositionality in Emergent Representations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #634
Generalization and Robustness Implications in Object-Centric Learning
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Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #636
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
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Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #638
Action-Sufficient State Representation Learning for Control with Structural Constraints
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #639
Gradient Descent on Neurons and its Link to Approximate Second-order Optimization
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Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #637
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources