Transformers

Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation Interspeech 2023 ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection EMNLP 2023 Reference-based MRI Reconstruction Using Texture Transformer MIDL 2023 Referring Image Segmentation via Joint Mask Contextual Embedding Learning and Progressive Alignment Network EMNLP 2023 REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling NeurIPS 2023 RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration ICCV 2023 Region-Aware Pretraining for Open-Vocabulary Object Detection With Vision Transformers CVPR 2023 Reject Decoding via Language-Vision Models for Text-to-Image Synthesis AAAI 2023 Relational Attention: Generalizing Transformers for Graph-Structured Tasks ICLR 2023 Relational Context Learning for Human-Object Interaction Detection CVPR 2023 Relation-Aware Language-Graph Transformer for Question Answering AAAI 2023 Remote Wildfire Detection using Multispectral Satellite Imagery and Vision Transformers ACML 2023 RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer AAAI 2023 RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers ICCV 2023 Representational Strengths and Limitations of Transformers NeurIPS 2023 Representation Learning by Detecting Incorrect Location Embeddings AAAI 2023 Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023 Representation Recovering for Self-Supervised Pre-Training on Medical Images WACV 2023 Reprogramming Pretrained Language Models for Antibody Sequence Infilling ICML 2023 RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL AAAI 2023 ResFormer: Scaling ViTs With Multi-Resolution Training CVPR 2023 Resolving Elliptical Compounds in German Medical Text ACL 2023 Resources and Few-shot Learners for In-context Learning in Slavic Languages EACL 2023 Rethinking Mobile Block for Efficient Attention-based Models ICCV 2023 Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling ICCV 2023