Transformers

Contrastive Triple Extraction with Generative Transformer AAAI 2021 Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks ACL 2021 Controlled tasks for model analysis: Retrieving discrete information from sequences EMNLP 2021 Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules EMNLP 2021 Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks EACL 2021 ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases ICML 2021 Convolutional Hough Matching Networks CVPR 2021 Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models ACL 2021 Coping with Noisy Training Data Labels in Paraphrase Detection EMNLP 2021 Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking Interspeech 2021 CoreLM: Coreference-aware Language Model Fine-Tuning EMNLP 2021 Corporate Bankruptcy Prediction with Domain-Adapted BERT EMNLP 2021 Co-Scale Conv-Attentional Image Transformers ICCV 2021 COTR: Correspondence Transformer for Matching Across Images ICCV 2021 Counter-Interference Adapter for Multilingual Machine Translation EMNLP 2021 Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data SemEval 2021 Court Opinion Generation from Case Fact Description with Legal Basis AAAI 2021 COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic ACL 2021 CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction ICCV 2021 Cross Attention Augmented Transducer Networks for Simultaneous Translation EMNLP 2021 Cross-Layer Distillation with Semantic Calibration AAAI 2021 Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition Interspeech 2021 Cross-view Geo-localization with Layer-to-Layer Transformer NeurIPS 2021 CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification ICCV 2021 CS-BERT: a pretrained model for customer service dialogues EMNLP 2021