64 Results

Poster
Tue 7:00 On the Noisy Gradient Descent that Generalizes as SGD
Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Vladimir Braverman, Zhanxing Zhu
Poster
Tue 7:00 Multigrid Neural Memory
Tri Huynh, Michael Maire, Matthew Walter
Poster
Tue 7:00 Variational Bayesian Quantization
Yibo Yang, Robert Bamler, Stephan Mandt
Poster
Tue 7:00 AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
Poster
Tue 7:00 PENNI: Pruned Kernel Sharing for Efficient CNN Inference
Shiyu Li, Edward Hanson, Hai Li, Yiran Chen
Poster
Tue 7:00 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis
Yusuke Tsuzuku, Issei Sato, Masashi Sugiyama
Poster
Tue 8:00 Neural Clustering Processes
Ari Pakman, Yueqi Wang, Catalin Mitelut, JinHyung Lee, Department of Statistics Liam Paninski
Poster
Tue 8:00 Angular Visual Hardness
Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Anima Anandkumar
Poster
Tue 9:00 Variance Reduction in Stochastic Particle-Optimization Sampling
Jianyi Zhang, Yang Zhao, Changyou Chen
Poster
Tue 9:00 Feature Quantization Improves GAN Training
Yang Zhao, Chunyuan Li, Iris Yu, Jianfeng Gao, Changyou Chen
Poster
Tue 9:00 How Good is the Bayes Posterior in Deep Neural Networks Really?
Florian Wenzel, Kevin Roth, Bastiaan Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
Poster
Tue 10:00 Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Wilson
Poster
Tue 10:00 Deep Isometric Learning for Visual Recognition
Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik
Poster
Tue 10:00 Revisiting Spatial Invariance with Low-Rank Local Connectivity
Gamaleldin Elsayed, Prajit Ramachandran, Jon Shlens, Simon Kornblith
Poster
Tue 10:00 On Learning Sets of Symmetric Elements
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
Poster
Tue 12:00 Learning disconnected manifolds: a no GAN's land
Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jeremie Mary
Poster
Tue 12:00 Bayesian Sparsification of Deep C-valued Networks
Ivan Nazarov, Evgeny Burnaev
Poster
Tue 13:00 Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel Roy, Michael Carbin
Poster
Tue 13:00 GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Marc Brockschmidt
Poster
Tue 13:00 An Explicitly Relational Neural Network Architecture
Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David GT Barrett, Marta Garnelo
Poster
Tue 14:00 Why bigger is not always better: on finite and infinite neural networks
Laurence Aitchison
Poster
Tue 14:00 Training Neural Networks for and by Interpolation
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar
Poster
Wed 5:00 Channel Equilibrium Networks for Learning Deep Representation
Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo
Poster
Wed 5:00 Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
Filipe de Avila Belbute-Peres, Thomas Economon, Zico Kolter
Poster
Wed 5:00 Neural Architecture Search in A Proxy Validation Loss Landscape
Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
Poster
Wed 8:00 Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification
Hui Ye, Zhiyu Chen, Da-Han Wang, Brian D Davison
Poster
Wed 8:00 Boosting Deep Neural Network Efficiency with Dual-Module Inference
Liu Liu, Lei Deng, Zhaodong Chen, yuke wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie
Poster
Wed 8:00 Circuit-Based Intrinsic Methods to Detect Overfitting
Satrajit Chatterjee, Alan Mishchenko
Poster
Wed 8:00 Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
Poster
Wed 9:00 Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
Mingjie Li, Lingshen He, Zhouchen Lin
Poster
Wed 9:00 SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Lingkai Kong, Jimeng Sun, Chao Zhang
Poster
Wed 10:00 Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi, Matthias Hein, Philipp Hennig
Poster
Wed 10:00 Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Mike Dusenberry, Ghassen Jerfel, Yeming Wen, Yian Ma, Jasper Snoek, Katherine Heller, Balaji Lakshminarayanan, Dustin Tran
Poster
Wed 10:00 Small-GAN: Speeding up GAN Training using Core-Sets
Samrath Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena
Poster
Wed 12:00 Convergence Rates of Variational Inference in Sparse Deep Learning
Badr-Eddine Chérief-Abdellatif
Poster
Wed 12:00 Training Linear Neural Networks: Non-Local Convergence and Complexity Results
Armin Eftekhari
Poster
Wed 12:00 Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
Poster
Wed 13:00 On the Generalization Benefit of Noise in Stochastic Gradient Descent
Samuel Smith, Erich Elsen, Soham De
Poster
Wed 13:00 A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Poster
Wed 14:00 Small Data, Big Decisions: Model Selection in the Small-Data Regime
Jorg Bornschein, Francesco Visin, Simon Osindero
Poster
Wed 14:00 Explicit Gradient Learning for Black-Box Optimization
Elad Sarafian, Mor Sinay, yoram louzoun, Noa Agmon, Sarit Kraus
Poster
Wed 14:00 Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets
Guy Hacohen, Leshem Choshen, Daphna Weinshall
Poster
Wed 15:00 Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
Chengcheng Wan, Henry (Hank) Hoffmann, Shan Lu, Michael Maire
Poster
Wed 16:00 On Relativistic f-Divergences
Alexia Jolicoeur-Martineau
Poster
Thu 6:00 Multi-Agent Routing Value Iteration Network
Quinlan Sykora, Mengye Ren, Raquel Urtasun
Poster
Thu 6:00 CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin
Poster
Thu 6:00 Scalable Differentiable Physics for Learning and Control
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming Lin
Poster
Thu 6:00 Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
Poster
Thu 6:00 Do GANs always have Nash equilibria?
Farzan Farnia, Asuman Ozdaglar
Poster
Thu 6:00 PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma
Poster
Thu 6:00 From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry
Poster
Thu 7:00 Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Taufik Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Poster
Thu 7:00 On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao, Yulai Cong, Lawrence Carin
Poster
Thu 7:00 Graph Structure of Neural Networks
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
Poster
Thu 7:00 Lorentz Group Equivariant Neural Network for Particle Physics
Alexander Bogatskiy, Brandon Anderson, Jan T Offermann, Marwah Roussi, David Miller, Risi Kondor
Poster
Thu 9:00 Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu
Poster
Thu 9:00 Inferring DQN structure for high-dimensional continuous control
Andrey Sakryukin, Chedy Raissi, Mohan Kankanhalli
Poster
Thu 9:00 Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Andrey Voynov, Artem Babenko
Poster
Thu 12:00 The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Jakub Swiatkowski, Kevin Roth, Bastiaan Veeling, Linh Tran, Josh V Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
Poster
Thu 12:00 Optimizer Benchmarking Needs to Account for Hyperparameter Tuning
Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret
Poster
Thu 13:00 Graph Filtration Learning
Christoph Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt
Poster
Thu 14:00 Training Binary Neural Networks using the Bayesian Learning Rule
Xiangming Meng, Roman Bachmann, Emti Khan
Poster
Thu 17:00 DropNet: Reducing Neural Network Complexity via Iterative Pruning
Chong Min John Tan, Mehul Motani
Poster
Thu 18:00 On Layer Normalization in the Transformer Architecture
Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu