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attention mechanism

4,173 papers

AM ATTENTION

Papers

Detecting Events and Key Actors in Multi-Person Videos CVPR 2016 Distance Metric Learning for Aspect Phrase Grouping COLING 2016 Dynamic Capacity Networks ICML 2016 Dynamic Memory Networks for Visual and Textual Question Answering ICML 2016 End-to-End Language Identification Using Attention-Based Recurrent Neural Networks Interspeech 2016 From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification ICML 2016 Future Context Attention for Unidirectional LSTM Based Acoustic Model Interspeech 2016 GAKE: Graph Aware Knowledge Embedding COLING 2016 Hashtag Recommendation with Topical Attention-Based LSTM COLING 2016 Hierarchical Memory Networks for Answer Selection on Unknown Words COLING 2016 Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation COLING 2016 Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF COLING 2016 Incremental Fine-grained Information Status Classification Using Attention-based LSTMs COLING 2016 Interactive Attention for Neural Machine Translation COLING 2016 Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition NeurIPS 2016 Learning to Generate with Memory ICML 2016 Learning to Match Aerial Images With Deep Attentive Architectures CVPR 2016 LSTM, GRU, Highway and a Bit of Attention: An Empirical Overview for Language Modeling in Speech Recognition Interspeech 2016 Modelling Sentence Pairs with Tree-structured Attentive Encoder COLING 2016 Neural Attention for Learning to Rank Questions in Community Question Answering COLING 2016 Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection Interspeech 2016 Neural Machine Translation with Supervised Attention COLING 2016 Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition COLING 2016 Recurrent Attentional Networks for Saliency Detection CVPR 2016 Recurrent Attention Models for Depth-Based Person Identification CVPR 2016