Architectures

Representing Unordered Data Using Complex-Weighted Multiset Automata ICML 2020 Rep the Set: Neural Networks for Learning Set Representations AISTATS 2020 Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020 Reservoir Computing meets Recurrent Kernels and Structured Transforms NeurIPS 2020 Residual Continual Learning AAAI 2020 Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NeurIPS 2020 Residual Feature Aggregation Network for Image Super-Resolution CVPR 2020 Residual Neural Processes AAAI 2020 Resisting Large Data Variations via Introspective Transformation Network WACV 2020 Resolution Adaptive Networks for Efficient Inference CVPR 2020 Resource-Adaptive Deep Learning for Visual Speech Recognition Interspeech 2020 Resource-Enhanced Neural Model for Event Argument Extraction EMNLP 2020 RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP 2020 Rethinking Bias-Variance Trade-off for Generalization of Neural Networks ICML 2020 Rethinking Classification and Localization for Object Detection CVPR 2020 Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets CVPR 2020 Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020 Rethinking pooling in graph neural networks NeurIPS 2020 Rethinking Self-Attention: Towards Interpretability in Neural Parsing EMNLP 2020 Rethinking Skip Connection with Layer Normalization COLING 2020 Rethinking the Value of Transformer Components COLING 2020 Retina-Like Visual Image Reconstruction via Spiking Neural Model CVPR 2020 Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework COLING 2020 Retrofitting Structure-aware Transformer Language Model for End Tasks EMNLP 2020 RevealNet: Seeing Behind Objects in RGB-D Scans CVPR 2020