Model Architecture

On Correctness of Automatic Differentiation for Non-Differentiable Functions NeurIPS 2020 One-Shot Adversarial Attacks on Visual Tracking With Dual Attention CVPR 2020 Online Blind Reverberation Time Estimation Using CRNNs Interspeech 2020 On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning AAAI 2020 On the Regularization Properties of Structured Dropout CVPR 2020 On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location CVPR 2020 On Universal Equivariant Set Networks ICLR 2020 Operation-Aware Soft Channel Pruning using Differentiable Masks ICML 2020 Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search CVPR 2020 Orthogonalized SGD and Nested Architectures for Anytime Neural Networks ICML 2020 Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations IJCAI 2020 Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks ICLR 2020 PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search ICLR 2020 PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020 PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions ICML 2020 Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP ICLR 2020 PLLay: Efficient Topological Layer based on Persistent Landscapes NeurIPS 2020 Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks AAAI 2020 PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling CVPR 2020 Point Cloud Completion by Skip-Attention Network With Hierarchical Folding CVPR 2020 PolyTransform: Deep Polygon Transformer for Instance Segmentation CVPR 2020 Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position IJCAI 2020 Post-training Iterative Hierarchical Data Augmentation for Deep Networks NeurIPS 2020 Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods AAAI 2020 Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention MLHC 2020