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Attention

101 directly classified papers

Papers per year

Papers

Towards Universal Object Detection by Domain Attention CVPR 2019
Deep Dual Relation Modeling for Egocentric Interaction Recognition CVPR 2019
SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction CVPR 2019
Improving Relation Extraction with Knowledge-attention EMNLP 2019
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis EMNLP 2019
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text EMNLP 2019
Question Answering Using Hierarchical Attention on Top of BERT Features EMNLP 2019
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset AAAI 2019
Motion Guided Spatial Attention for Video Captioning AAAI 2019
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension EMNLP 2018
WECA: A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition EMNLP 2018
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention EMNLP 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction NIPS 2018
Attentive Statistics Pooling for Deep Speaker Embedding INTERSPEECH 2018
Cold-Start Aware User and Product Attention for Sentiment Classification ACL 2018
On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation EMNLP 2018
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation EMNLP 2018
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models NIPS 2017
Multi-Attention Network for One Shot Learning CVPR 2017
Inverse Compositional Spatial Transformer Networks CVPR 2017
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin NIPS 2017
Learning Wake-Sleep Recurrent Attention Models NIPS 2015
The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification CVPR 2015
Congruence between model and human attention reveals unique signatures of critical visual events NIPS 2007
Experience-Guided Search: A Theory of Attentional Control NIPS 2007