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Transformers

11,186 papers

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Papers

Hierarchical Character Tagger for Short Text Spelling Error Correction EMNLP 2021 Hierarchical Context-Aware Transformers for Non-Autoregressive Text to Speech Interspeech 2021 Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection EACL 2021 Hierarchical Transformer for Multilingual Machine Translation EACL 2021 Hierarchical Transformer for Task Oriented Dialog Systems NAACL 2021 HiFT: Hierarchical Feature Transformer for Aerial Tracking ICCV 2021 High-Fidelity Pluralistic Image Completion With Transformers ICCV 2021 High-Performance Discriminative Tracking With Transformers ICCV 2021 High-Resolution Optical Flow From 1D Attention and Correlation ICCV 2021 HiT: Hierarchical Transformer With Momentum Contrast for Video-Text Retrieval ICCV 2021 HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition EMNLP 2021 Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling ACL 2021 HittER: Hierarchical Transformers for Knowledge Graph Embeddings EMNLP 2021 HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection SemEval 2021 Hopeful Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers EACL 2021 Hopfield Networks is All You Need ICLR 2021 Hopper: Multi-hop Transformer for Spatiotemporal Reasoning ICLR 2021 HOTR: End-to-End Human-Object Interaction Detection With Transformers CVPR 2021 How could Neural Networks understand Programs? ICML 2021 How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks EMNLP 2021 How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task EMNLP 2021 How Fast can BERT Learn Simple Natural Language Inference? EACL 2021 How Length Prediction Influence the Performance of Non-Autoregressive Translation? EMNLP 2021 How Many Layers and Why? An Analysis of the Model Depth in Transformers ACL 2021 How much pretraining data do language models need to learn syntax? EMNLP 2021