transformer architecture

Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching EMNLP 2019 Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL 2019 Attention on Attention for Image Captioning ICCV 2019 Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation EMNLP 2019 BSC Participation in the WMT Translation of Biomedical Abstracts ACL 2019 CVIT’s submissions to WAT-2019 EMNLP 2019 English-Myanmar Supervised and Unsupervised NMT: NICT’s Machine Translation Systems at WAT-2019 EMNLP 2019 Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data ACL 2019 FastSpeech: Fast, Robust and Controllable Text to Speech NeurIPS 2019 From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions ACL 2019 Gaussian Transformer: A Lightweight Approach for Natural Language Inference AAAI 2019 Hierarchical Transformers for Multi-Document Summarization ACL 2019 Humor Detection: A Transformer Gets the Last Laugh EMNLP 2019 Incorporating Source Syntax into Transformer-Based Neural Machine Translation ACL 2019 Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension EMNLP 2019 Joey NMT: A Minimalist NMT Toolkit for Novices EMNLP 2019 Large Memory Layers with Product Keys NeurIPS 2019 Lattice Transformer for Speech Translation ACL 2019 Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks ACL 2019 Mixed Multi-Head Self-Attention for Neural Machine Translation EMNLP 2019 Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations EMNLP 2019 Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation ACL 2019 NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task ACL 2019 NLPRL at WAT2019: Transformer-based Tamil – English Indic Task Neural Machine Translation System EMNLP 2019 Question Answering Using Hierarchical Attention on Top of BERT Features EMNLP 2019