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Transformers

11,186 papers

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Papers

Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer ICML 2022 Reversible Vision Transformers CVPR 2022 Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training EMNLP 2022 Revisiting Near/Remote Sensing With Geospatial Attention CVPR 2022 Revisiting Neural Scaling Laws in Language and Vision NeurIPS 2022 Revisiting the Compositional Generalization Abilities of Neural Sequence Models ACL 2022 Revisiting Transformer-based Models for Long Document Classification EMNLP 2022 Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers ACL 2022 RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction ACL 2022 Ripple Attention for Visual Perception with Sub-quadratic Complexity ICML 2022 Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning NAACL 2022 Robust Lane Detection via Expanded Self Attention WACV 2022 RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining ACL 2022 RSTT: Real-Time Spatial Temporal Transformer for Space-Time Video Super-Resolution CVPR 2022 RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer NeurIPS 2022 Ruleformer: Context-aware Rule Mining over Knowledge Graph COLING 2022 S2SNet: A Pretrained Neural Network for Superconductivity Discovery IJCAI 2022 Safe Self-Refinement for Transformer-Based Domain Adaptation CVPR 2022 SAIDS: A Novel Approach for Sentiment Analysis Informed of Dialect and Sarcasm EMNLP 2022 Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models NAACL 2022 SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image IJCAI 2022 SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization NeurIPS 2022 SBU Figures It Out: Models Explain Figurative Language EMNLP 2022 Scaled ReLU Matters for Training Vision Transformers AAAI 2022 ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise 
Perspective for Medical Image Segmentation IJCAI 2022