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Poster
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Tue 7:00 |
Laplacian Regularized Few-Shot Learning Imtiaz Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed |
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Poster
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Tue 7:00 |
Searching to Exploit Memorization Effect in Learning with Noisy Labels QUANMING YAO, Hansi Yang, Bo Han, Gang Niu, James Kwok |
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Poster
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Tue 7:00 |
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data Lan-Zhe Guo, Zhen-Yu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou |
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Poster
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Tue 7:00 |
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms Chaosheng Dong, Bo Zeng |
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Poster
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Tue 7:00 |
Layered Sampling for Robust Optimization Problems Hu Ding, Zixiu Wang |
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Poster
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Tue 7:00 |
A Simple Framework for Contrastive Learning of Visual Representations Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton |
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Poster
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Tue 7:00 |
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu |
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Poster
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Tue 7:00 |
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling Will Grathwohl, Kuan-Chieh Wang, Jörn Jacobsen, David Duvenaud, Richard Zemel |
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Poster
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Tue 7:00 |
Faster Graph Embeddings via Coarsening Matthew Fahrbach, Gramoz Goranci, Richard Peng, Sushant Sachdeva, Chi Wang |
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Poster
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Tue 7:00 |
Learning with Multiple Complementary Labels LEI FENG, Takuo Kaneko, Bo Han, Gang Niu, Bo An, Masashi Sugiyama |
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Poster
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Tue 7:00 |
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case shuai zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong |
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Poster
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Tue 7:00 |
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John Gregoire, Carla Gomes |
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Poster
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Tue 7:00 |
Individual Fairness for k-Clustering Sepideh Mahabadi, Ali Vakilian |
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Poster
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Tue 8:00 |
DROCC: Deep Robust One-Class Classification Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain |
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Poster
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Tue 8:00 |
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures Chiru Bhattacharyya, Ravindran Kannan |
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Poster
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Tue 9:00 |
Recovery of Sparse Signals from a Mixture of Linear Samples Soumyabrata Pal, Arya Mazumdar |
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Poster
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Tue 10:00 |
Topological Autoencoders Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt |
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Poster
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Tue 10:00 |
Structured Prediction with Partial Labelling through the Infimum Loss Vivien Cabannnes, Alessandro Rudi, Francis Bach |
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Poster
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Tue 10:00 |
Explainable k-Means and k-Medians Clustering Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost |
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Poster
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Tue 11:00 |
Quantum Expectation-Maximization for Gaussian mixture models Alessandro Luongo, Iordanis Kerenidis, Anupam Prakash |
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Poster
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Tue 11:00 |
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates Yang Liu, Hongyi Guo |
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Poster
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Tue 11:00 |
Understanding and Mitigating the Tradeoff between Robustness and Accuracy Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang |
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Poster
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Tue 14:00 |
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure John Sipple |
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Poster
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Tue 14:00 |
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit Dhillon |
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Poster
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Tue 14:00 |
Simple and sharp analysis of k-means|| Vaclav Rozhon |
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Poster
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Tue 15:00 |
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon |
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Poster
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Tue 19:00 |
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels Yu-Ting Chou, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama |
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Poster
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Wed 5:00 |
On Learning Language-Invariant Representations for Universal Machine Translation Han Zhao, Junjie Hu, Andrej Risteski |
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Poster
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Wed 5:00 |
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust Bo Han, Gang Niu, Xingrui Yu, QUANMING YAO, Miao Xu, Ivor Tsang, Masashi Sugiyama |
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Poster
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Wed 5:00 |
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang ZHANG, Masanori Koyama, Katsuhiko Ishiguro |
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Poster
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Wed 5:00 |
Label-Noise Robust Domain Adaptation Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao |
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Poster
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Wed 5:00 |
Median Matrix Completion: from Embarrassment to Optimality Weidong Liu, Xiaojun Mao, Raymond K. W. Wong |
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Poster
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Wed 5:00 |
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy |
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Poster
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Wed 8:00 |
Negative Sampling in Semi-Supervised learning John Chen, Vatsal Shah, Tasos Kyrillidis |
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Poster
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Wed 8:00 |
Coresets for Clustering in Graphs of Bounded Treewidth Daniel Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu |
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Poster
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Wed 8:00 |
Black-box Certification and Learning under Adversarial Perturbations Hassan Ashtiani, Vinayak Pathak, Ruth Urner |
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Poster
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Wed 8:00 |
Sets Clustering Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman |
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Poster
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Wed 8:00 |
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson, Stefanie Jegelka, Suvrit Sra |
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Poster
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Wed 8:00 |
Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar, Tengyu Ma, Percy Liang |
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Poster
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Wed 10:00 |
Time-Consistent Self-Supervision for Semi-Supervised Learning Tianyi Zhou, Shengjie Wang, Jeff Bilmes |
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Poster
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Wed 10:00 |
Correlation Clustering with Asymmetric Classification Errors Jafar Jafarov, Sanchit Kalhan, Kostya Makarychev, Yury Makarychev |
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Poster
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Wed 11:00 |
Robust Graph Representation Learning via Neural Sparsification Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang |
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Poster
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Wed 12:00 |
k-means++: few more steps yield constant approximation Davin Choo, Christoph Grunau, Julian Portmann, Vaclav Rozhon |
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Poster
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Wed 12:00 |
T-Basis: a Compact Representation for Neural Networks Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool |
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Poster
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Wed 12:00 |
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors Yehuda Dar, Paul Mayer, Lorenzo Luzi, Richard Baraniuk |
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Poster
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Wed 14:00 |
It's Not What Machines Can Learn, It's What We Cannot Teach Gal Yehuda, Moshe Gabel, Assaf Schuster |
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Poster
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Wed 16:00 |
Spread Divergence Mingtian Zhang, Peter Hayes, Thomas Bird, Raza Habib, David Barber |
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Poster
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Thu 6:00 |
p-Norm Flow Diffusion for Local Graph Clustering Kimon Fountoulakis, Di Wang, Shenghao Yang |
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Poster
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Thu 6:00 |
Deep Reinforcement Learning with Smooth Policy Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao |
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Poster
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Thu 6:00 |
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization Chris Finlay, Jörn Jacobsen, Levon Nurbekyan, Adam Oberman |
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Poster
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Thu 6:00 |
Bridging the Gap Between f-GANs and Wasserstein GANs Jiaming Song, Stefano Ermon |
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Poster
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Thu 6:00 |
Learning with Bounded Instance- and Label-dependent Label Noise Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, Dacheng Tao |
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Poster
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Thu 6:00 |
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang, Phillip Isola |
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Poster
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Thu 6:00 |
A Pairwise Fair and Community-preserving Approach to k-Center Clustering Brian Brubach, Darshan Chakrabarti, John P Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas |
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Poster
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Thu 6:00 |
Input-Sparsity Low Rank Approximation in Schatten Norm Yi Li, David Woodruff |
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Poster
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Thu 6:00 |
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates |
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Poster
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Thu 7:00 |
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Wilson |
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Poster
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Thu 7:00 |
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit Patel, Anima Anandkumar |
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Poster
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Thu 7:00 |
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information Karl Stratos, Sam Wiseman |
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Poster
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Thu 7:00 |
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei |
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Poster
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Thu 7:00 |
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev |
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Poster
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Thu 7:00 |
On hyperparameter tuning in general clustering problemsm Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang |
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Poster
|
Thu 8:00 |
Domain Aggregation Networks for Multi-Source Domain Adaptation Junfeng Wen, Russell Greiner, Dale Schuurmans |
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Poster
|
Thu 8:00 |
Progressive Identification of True Labels for Partial-Label Learning Jiaqi Lv, Miao Xu, LEI FENG, Gang Niu, Xin Geng, Masashi Sugiyama |
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Poster
|
Thu 8:00 |
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin |
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Poster
|
Thu 8:00 |
Learning Mixtures of Graphs from Epidemic Cascades Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis |
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Poster
|
Thu 9:00 |
When Does Self-Supervision Help Graph Convolutional Networks? Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen |
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Poster
|
Thu 9:00 |
Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation Georgios Smyrnis, Petros Maragos |
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Poster
|
Thu 12:00 |
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier Henaff |
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Poster
|
Thu 12:00 |
Missing Data Imputation using Optimal Transport Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi |
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Poster
|
Thu 12:00 |
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter Liu |
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Poster
|
Thu 13:00 |
On Efficient Low Distortion Ultrametric Embedding Vincent Cohen-Addad, Karthik C. S., Guillaume Lagarde |
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Poster
|
Thu 13:00 |
Topic Modeling via Full Dependence Mixtures Dan Fisher, Mark Kozdoba, Shie Mannor |
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Poster
|
Thu 13:00 |
Amortised Learning by Wake-Sleep Kevin Wenliang, Theodore Moskovitz, Heishiro Kanagawa, Maneesh Sahani |
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Poster
|
Thu 15:00 |
Stochastic Optimization for Regularized Wasserstein Estimators Marin Ballu, Quentin Berthet, Francis Bach |
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Poster
|
Thu 17:00 |
Sparse Subspace Clustering with Entropy-Norm Liang Bai, Jiye Liang |
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Workshop
|
Fri 6:00 |
End-to-End ASR: from Supervised to Semi-Supervised Learning with Modern Architectures Jacob Kahn |
|
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Workshop
|
Fri 8:55 |
Unsupervised Speech Separation Using Mixtures of Mixtures Scott Wisdom |
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Workshop
|
Sat 6:35 |
Technical Talks Session 1 Ishika Singh, Laura Rieger, Rasmus Høegh, Hanlin Lu, Wonyong Jeong |
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Workshop
|
(#86 / Sess. 2) Graph Generation with Energy-Based Models Jenny Liu |