Transformers

Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization EACL 2017 DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning IJCAI 2017 Deliberation Networks: Sequence Generation Beyond One-Pass Decoding NeurIPS 2017 Diversifying Neural Conversation Model with Maximal Marginal Relevance IJCNLP 2017 Diversity driven attention model for query-based abstractive summarization ACL 2017 Doubly-Attentive Decoder for Multi-modal Neural Machine Translation ACL 2017 Dual Attention Networks for Multimodal Reasoning and Matching CVPR 2017 Dual Discriminator Generative Adversarial Nets NeurIPS 2017 Efficient Attention using a Fixed-Size Memory Representation EMNLP 2017 End-To-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering CVPR 2017 End-to-End Speech Recognition with Auditory Attention for Multi-Microphone Distance Speech Recognition Interspeech 2017 Experiments in Character-Level Neural Network Models for Punctuation Interspeech 2017 Exploring Different Dimensions of Attention for Uncertainty Detection EACL 2017 Generating the Future With Adversarial Transformers CVPR 2017 Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network IJCAI 2017 Here’s My Point: Joint Pointer Architecture for Argument Mining EMNLP 2017 Hierarchically-Attentive RNN for Album Summarization and Storytelling EMNLP 2017 Image-to-Markup Generation with Coarse-to-Fine Attention ICML 2017 Improved Word Representation Learning with Sememes ACL 2017 Improving Japanese-to-English Neural Machine Translation by Voice Prediction IJCNLP 2017 Incorporating Global Visual Features into Attention-based Neural Machine Translation. EMNLP 2017 Inverse Compositional Spatial Transformer Networks CVPR 2017 Joint Modeling of Content and Discourse Relations in Dialogues ACL 2017 Key-value Attention Mechanism for Neural Machine Translation IJCNLP 2017 Learning Hierarchical Information Flow with Recurrent Neural Modules NeurIPS 2017