Transformers

Recursive Tree-Structured Self-Attention for Answer Sentence Selection ACL 2021 Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems NeurIPS 2021 Referring Transformer: A One-step Approach to Multi-task Visual Grounding NeurIPS 2021 Reformulating HOI Detection As Adaptive Set Prediction CVPR 2021 Related Named Entities Classification in the Economic-Financial Context EACL 2021 Relating Neural Text Degeneration to Exposure Bias EMNLP 2021 Relational Embedding for Few-Shot Classification ICCV 2021 Relational Self-Attention: What's Missing in Attention for Video Understanding NeurIPS 2021 Representing Long-Range Context for Graph Neural Networks with Global Attention NeurIPS 2021 Reservoir Transformers ACL 2021 Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences AAAI 2021 ResT: An Efficient Transformer for Visual Recognition NeurIPS 2021 Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion ACL 2021 Rethinking and Improving Relative Position Encoding for Vision Transformer ICCV 2021 Rethinking Attention with Performers ICLR 2021 Rethinking Graph Transformers with Spectral Attention NeurIPS 2021 Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective IJCAI 2021 Rethinking Positional Encoding in Language Pre-training ICLR 2021 Rethinking Spatial Dimensions of Vision Transformers ICCV 2021 Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning CVPR 2021 Revisiting Robust Neural Machine Translation: A Transformer Case Study EMNLP 2021 Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective With Transformers ICCV 2021 Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning NeurIPS 2021 RoBLEURT Submission for WMT2021 Metrics Task EMNLP 2021 Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text EMNLP 2021