| A General Theory of Equivariant CNNs on Homogeneous Spaces | Taco S Cohen · Mario Geiger · Maurice Weiler |
| Abstraction based Output Range Analysis for Neural Networks | Pavithra Prabhakar · Zahra Rahimi Afzal |
| ANODEV2: A Coupled Neural ODE Framework | Tianjun Zhang · Zhewei Yao · Amir Gholami · Joseph Gonzalez · Kurt Keutzer · Michael W Mahoney · George Biros |
| Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction | Hao Zheng · Faming Fang · Guixu Zhang |
| CNN^{2}: Viewpoint Generalization via a Binocular Vision | Wei-Da Chen · Shan-Hung (Brandon) Wu |
| CondConv: Conditionally Parameterized Convolutions for Efficient Inference | Brandon Yang · Gabriel Bender · Quoc V Le · Jiquan Ngiam |
| Convolution with even-sized kernels and symmetric padding | Shuang Wu · Guanrui Wang · Pei Tang · Feng Chen · Luping Shi |
| Deep Active Learning with a Neural Architecture Search | Yonatan Geifman · Ran El-Yaniv |
| Deep Scale-spaces: Equivariance Over Scale | Daniel Worrall · Max Welling |
| DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters | W. O. K. Asiri Suranga Wijesinghe · Qing Wang |
| Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks | Kohei Hayashi · Taiki Yamaguchi · Yohei Sugawara · Shin-ichi Maeda |
| Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias | Stéphane d'Ascoli · Levent Sagun · Giulio Biroli · Joan Bruna |
| Fixing the train-test resolution discrepancy | Hugo Touvron · Andrea Vedaldi · Matthijs Douze · Herve Jegou |
| Gaussian-Based Pooling for Convolutional Neural Networks | Takumi Kobayashi |
| General E(2)-Equivariant Steerable CNNs | Maurice Weiler · Gabriele Cesa |
| Learning Stable Deep Dynamics Models | J. Zico Kolter · Gaurav Manek |
| Neural Similarity Learning | Weiyang Liu · Zhen Liu · James M Rehg · Le Song |
| Cross-channel Communication Networks | Jianwei Yang · Zhile Ren · Chuang Gan · Hongyuan Zhu · Devi Parikh |
| Positional Normalization | Boyi Li · Felix Wu · Kilian Weinberger · Serge Belongie |
| Powerset Convolutional Neural Networks | Chris Wendler · Markus Püschel · Dan Alistarh |
| Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks | Qiyang Li · Saminul Haque · Cem Anil · James Lucas · Roger Grosse · Joern-Henrik Jacobsen |
| Self-Routing Capsule Networks | Taeyoung Hahn · Myeongjang Pyeon · Gunhee Kim |
| Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations. | Sawyer Birnbaum · Volodymyr Kuleshov · Zayd Enam · Pang Wei Koh · Stefano Ermon |