Transformers

Relating transformers to models and neural representations of the hippocampal formation ICLR 2022 Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NeurIPS 2022 Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction NAACL 2022 RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning EMNLP 2022 RELiC: Retrieving Evidence for Literary Claims ACL 2022 RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition CVPR 2022 RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning ICLR 2022 RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection IJCAI 2022 Replacing Labeled Real-Image Datasets With Auto-Generated Contours CVPR 2022 Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories COLING 2022 RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training IJCAI 2022 Resource-Efficient Hybrid X-Formers for Vision WACV 2022 RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs CVPR 2022 Restormer: Efficient Transformer for High-Resolution Image Restoration CVPR 2022 ReSTR: Convolution-Free Referring Image Segmentation Using Transformers CVPR 2022 ResT V2: Simpler, Faster and Stronger NeurIPS 2022 Rethinking Alignment in Video Super-Resolution Transformers NeurIPS 2022 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022 Rethinking Attention-Model Explainability through Faithfulness Violation Test ICML 2022 Rethinking Document-level Neural Machine Translation ACL 2022 Rethinking Generalization in Few-Shot Classification NeurIPS 2022 Rethinking Positional Encoding in Tree Transformer for Code Representation EMNLP 2022 Rethinking the Two-Stage Framework for Grounded Situation Recognition AAAI 2022 RETRACTED: Pan-Sharpening with Customized Transformer and Invertible Neural Network AAAI 2022 Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer EMNLP 2022