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In humans, Attention is a core property of all perceptual and cognitive operations.
Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc V. Le, and Ruslan Salakhutdinov · 1901
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Attribute-aware attention model for fine-grained representation learning
Kai Han, Jianyuan Guo, Chao Zhang, and Mingjian Zhu · 1901
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Toward a theory of memory and attention
Donald A Norman · 1968
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Attention and effort
Daniel Kahneman · 1973
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A feature-integration theory of attention
Anne M Treisman and Garry Gelade · 1980
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Shifts in selective visual attention: towards the underlying neural circuitry
Christof Koch and Shimon Ullman · 1987
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Modal control of an attentive vision system
James J Clark and Nicola J Ferrier · 1988
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Guided search: an alternative to the feature integration model for visual search
Jeremy M Wolfe, Kyle R Cave, and Susan L Franzel · 1989
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Slam: A connectionist model for attention in visual selection tasks
R Hans Phaf, AHC Van der Heijden, and Patrick TW Hudson · 1990
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Attentive visual servoing
James J Clark and Nicola J Ferrier · 1992
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Modulation of early sensory processing in human auditory cortex during auditory selective attention
Marty G Woldorff, Christopher C Gallen, Scott A Hampson, Steven A Hillyard, Christo Pantev, David Sobel, and Floyd E Bloom · 1993
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Visual attention in a mobile robot
Christian Scheier and Steffen Egner · 1997
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Expectation-based selective attention for visual monitoring and control of a robot vehicle
Shumeet Baluja and Dean A Pomerleau · 1997
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Bidirectional recurrent neural networks
Mike Schuster and Kuldip K Paliwal · 1997
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The retinotopy of visual spatial attention
Roger BH Tootell, Nouchine Hadjikhani, E Kevin Hall, Sean Marrett, Wim Vanduffel, J Thomas Vaughan, and Anders M Dale · 1998
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A model of saliency-based visual attention for rapid scene analysis
Laurent Itti, Christof Koch, and Ernst Niebur · 1998
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A context-dependent attention system for a social robot
Cynthia Breazeal and Brian Scassellati · 1999
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The physiology and psychology of selective attention to touch
Heidi Johansen-Berg and Donna M Lloyd · 2000
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The dynamic representation of scenes
Ronald A Rensink · 2000
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A selective attention-based method for visual pattern recognition with application to handwritten digit recognition and face recognition
Albert Ali Salah, Ethem Alpaydin, and Lale Akarun · 2002
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Visual attention: from bio-inspired modeling to real-time implementation
Nabil Ouerhani · 2003
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Clam: Closed-loop attention model for visual search
Frank Van der Velde, Marc de Kamps, et al · 2004
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Detection and tracking of objects in underwater video
Dirk Walther, Duane R Edgington, and Christof Koch · 2004
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Attentional modulation in human primary olfactory cortex
Christina Zelano, Moustafa Bensafi, Jess Porter, Joel Mainland, Brad Johnson, Elizabeth Bremner, Christina Telles, Rehan Khan, and Noam Sobel · 2005
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The emergence of attention by population-based inference and its role in distributed processing and cognitive control of vision
Fred H Hamker · 2005
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An integrated model of top-down and bottom-up attention for optimizing detection speed
Vidhya Navalpakkam and Laurent Itti · 2006
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Modeling feature-based attention as an active top-down inference process
Fred H Hamker · 2006
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VOCUS: A visual attention system for object detection and goal-directed search
Simone Frintrop · 2006
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Interactions of visual attention and object recognition: computational modeling, algorithms, and psychophysics
Dirk Walther · 2006
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Trying to detect taste in a tasteless solution: modulation of early gustatory cortex by attention to taste
Maria G Veldhuizen, Genevieve Bender, R Todd Constable, and Dana M Small · 2007
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Towards the dream of intelligent, visually-guided wheelchairs
A Rotenstein, Alexander Andreopoulos, Ehzan Fazl, David Jacob, Matt Robinson, Ksenia Shubina, Yuliang Zhu, and J Tsotsos · 2007
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Attentional landmarks and active gaze control for visual slam
Simone Frintrop and Patric Jensfelt · 2008
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Computational visual attention systems and their cognitive foundations: A survey
Simone Frintrop, Erich Rome, and Henrik Christensen · 2010
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Computational visual attention systems and their cognitive foundations: A survey
Simone Frintrop, Erich Rome, and Henrik I Christensen · 2010
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A survey on statistical relational learning
Hassan Khosravi and Bahareh Bina · 2010
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A taxonomy of external and internal attention
Marvin M Chun, Julie D Golomb, and Nicholas B Turk-Browne · 2011
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High dimensions and heavy tails for natural evolution strategies
Tom Schaul, Tobias Glasmachers, and Jürgen Schmidhuber · 2011
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Origins of the human pointing gesture: a training study
Danielle Matthews, Tanya Behne, Elena Lieven, and Michael Tomasello · 2012
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Perception and communication
Donald Eric Broadbent · 2013
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An attentional model for intelligent robotics agents
Esther Luna Colombini, A da Silva Simoes, and CHC Ribeiro · 2014
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Jason Weston, Sumit Chopra, and Antoine Bordes · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Recurrent models of visual attention
Volodymyr Mnih, Nicolas Heess, Alex Graves, and Koray Kavukcuoglu · 2014
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On the properties of neural machine translation: Encoder-decoder approaches
Kyunghyun Cho, Bart Van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio · 2014
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Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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Multiple object recognition with visual attention
Jimmy Ba, Volodymyr Mnih, and Koray Kavukcuoglu · 2014
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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End-to-end continuous speech recognition using attention-based recurrent nn: First results
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Attention for fine-grained categorization
Pierre Sermanet, Andrea Frome, and Esteban Real · 2014
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Deep networks with internal selective attention through feedback connections
Marijn Stollenga, Jonathan Masci, Faustino Gomez, and Jürgen Schmidhuber · 2014
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Draw: A recurrent neural network for image generation
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio · 2015
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William Chan, Navdeep Jaitly, Quoc V Le, and Oriol Vinyals · 2015
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Grammar as a foreign language
Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton · 2015
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Oriol Vinyals and Quoc Le · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
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Reasoning about entailment with neural attention
Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomáš Kočiskỳ, and Phil Blunsom · 2015
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Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning · 2015
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, and koray kavukcuoglu · 2015
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Describing videos by exploiting temporal structure
Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, and Aaron Courville · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al · 2015
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Inferring algorithmic patterns with stack-augmented recurrent nets
Armand Joulin and Tomas Mikolov · 2015
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Learning natural language inference with lstm
Shuohang Wang and Jing Jiang · 2015
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Neural programmer: Inducing latent programs with gradient descent
Arvind Neelakantan, Quoc V. Le, and Ilya Sutskever · 2015
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Lstm-based deep learning models for non-factoid answer selection
Ming Tan, Cicero dos Santos, Bing Xiang, and Bowen Zhou · 2015
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom · 2015
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Attention-based models for speech recognition
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, and Yoshua Bengio · 2015
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A neural attention model for abstractive sentence summarization
Alexander M Rush, Sumit Chopra, and Jason Weston · 2015
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Learning to transduce with unbounded memory
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, and Phil Blunsom · 2015
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Action recognition using visual attention
Shikhar Sharma, Ryan Kiros, and Ruslan Salakhutdinov · 2015
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The application of two-level attention models in deep convolutional neural network for fine-grained image classification
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, and Zheng Zhang · 2015
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From captions to visual concepts and back
Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh K Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C Platt, et al · 2015
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Describing multimedia content using attention-based encoder–decoder networks
Kyunghyun Cho, Aaron Courville, and Yoshua Bengio · 2015
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Video paragraph captioning using hierarchical recurrent neural networks
Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, and Wei Xu · 2015
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Deep compositional question answering with neural module networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein · 2015
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Visual7w: Grounded question answering in images
Yuke Zhu, Oliver Groth, Michael Bernstein, and Li Fei-Fei · 2015
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Abc-cnn: An attention based convolutional neural network for visual question answering
Kan Chen, Jiang Wang, Liang-Chieh Chen, Haoyuan Gao, Wei Xu, and Ram Nevatia · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Survey on the attention based rnn model and its applications in computer vision
Feng Wang and David MJ Tax · 2016
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Bidirectional attention flow for machine comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi · 2016
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy · 2016
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Dynamic coattention networks for question answering
Caiming Xiong, Victor Zhong, and Richard Socher · 2016
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Memory-augmented attention modelling for videos
Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, and Pushmeet Kohli · 2016
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Dynamic memory networks for visual and textual question answering
Caiming Xiong, Stephen Merity, and Richard Socher · 2016
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Ask me anything: Dynamic memory networks for natural language processing
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, and Richard Socher · 2016
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Key-value memory networks for directly reading documents
Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston · 2016
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Adaptive computation time for recurrent neural networks
Alex Graves · 2016
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Deep reinforcement learning with visual attention for vehicle classification
Dongbin Zhao, Yaran Chen, and Le Lv · 2016
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Beyond frame-level cnn: saliency-aware 3-d cnn with lstm for video action recognition
Xuanhan Wang, Lianli Gao, Jingkuan Song, and Hengtao Shen · 2016
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Relation classification via multi-level attention cnns
Linlin Wang, Zhu Cao, Gerard De Melo, and Zhiyuan Liu · 2016
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Abcnn: Attention-based convolutional neural network for modeling sentence pairs
Wenpeng Yin, Hinrich Schütze, Bing Xiang, and Bowen Zhou · 2016
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Capacity visual attention networks
Marcus Edel and Joscha Lausch · 2016
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Long short-term memory-networks for machine reading
Jianpeng Cheng, Li Dong, and Mirella Lapata · 2016
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Learning to generate with memory
Chongxuan Li, Jun Zhu, and Bo Zhang · 2016
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Fast adaptation in generative models with generative matching networks
Sergey Bartunov and Dmitry P Vetrov · 2016
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One-shot generalization in deep generative models
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, and Daan Wierstra · 2016
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Koray Kavukcuoglu, and Daan Wierstra · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Deep recurrent models with fast-forward connections for neural machine translation
Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, and Wei Xu · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al · 2016
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Tree-to-sequence attentional neural machine translation
Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka · 2016
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Multi-way, multilingual neural machine translation with a shared attention mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio · 2016
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Understanding subtitles by character-level sequence-to-sequence learning
Haijun Zhang, Jingxuan Li, Yuzhu Ji, and Heng Yue · 2016
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A decomposable attention model for natural language inference
Ankur P. Parikh, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit · 2016
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Learning natural language inference using bidirectional lstm model and inner-attention
Yang Liu, Chengjie Sun, Lei Lin, and Xiaolong Wang · 2016
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Cicero dos Santos, Ming Tan, Bing Xiang, and Bowen Zhou · 2016
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Gated-attention readers for text comprehension
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W Cohen, and Ruslan Salakhutdinov · 2016
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Text understanding with the attention sum reader network
Rudolf Kadlec, Martin Schmid, Ondřej Bajgar, and Jan Kleindienst · 2016
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Iterative alternating neural attention for machine reading
Alessandro Sordoni, Philip Bachman, Adam Trischler, and Yoshua Bengio · 2016
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Inner attention based recurrent neural networks for answer selection
Bingning Wang, Kang Liu, and Jun Zhao · 2016
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Attention-based lstm for aspect-level sentiment classification
Yequan Wang, Minlie Huang, Xiaoyan Zhu, and Li Zhao · 2016
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Lexicon integrated cnn models with attention for sentiment analysis
Bonggun Shin, Timothy Lee, and Jinho D Choi · 2016
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Neural sentiment classification with user and product attention
Huimin Chen, Maosong Sun, Cunchao Tu, Yankai Lin, and Zhiyuan Liu · 2016
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Language to logical form with neural attention
Li Dong and Mirella Lapata · 2016
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End-to-end attention-based large vocabulary speech recognition
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, and Yoshua Bengio · 2016
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Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, and Alexander M. Rush · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Caglar Gulcehre, Bing Xiang, et al · 2016
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A convolutional attention network for extreme summarization of source code
Miltiadis Allamanis, Hao Peng, and Charles Sutton · 2016
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Attention-based bidirectional long short-term memory networks for relation classification
Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao, and Bo Xu · 2016
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Neural relation extraction with selective attention over instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun · 2016
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What do recurrent neural network grammars learn about syntax?
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, and Noah A Smith · 2016
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Consensus attention-based neural networks for chinese reading comprehension
Yiming Cui, Ting Liu, Zhipeng Chen, Shijin Wang, and Guoping Hu · 2016
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Attention-based recurrent neural network models for joint intent detection and slot filling
Bing Liu and Ian Lane · 2016
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Chains of reasoning over entities, relations, and text using recurrent neural networks
Rajarshi Das, Arvind Neelakantan, David Belanger, and Andrew McCallum · 2016
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Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D Manning · 2016
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Recurrent mixture density network for spatiotemporal visual attention
Loris Bazzani, Hugo Larochelle, and Lorenzo Torresani · 2016
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Hierarchical attention networks
Paul Hongsuck Seo, Zhe Lin, Scott Cohen, Xiaohui Shen, and Bohyung Han · 2016
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Attention to scale: Scale-aware semantic image segmentation
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, and Alan L Yuille · 2016
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Recurrent attentional networks for saliency detection
Jason Kuen, Zhenhua Wang, and Gang Wang · 2016
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Recurrent temporal sparse autoencoder for attention-based action recognition
Miao Xin, Hong Zhang, Mingui Sun, and Ding Yuan · 2016
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Recursive recurrent nets with attention modeling for ocr in the wild
Chen-Yu Lee and Simon Osindero · 2016
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Sergey Zagoruyko and Nikos Komodakis · 2016
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Robust facial landmark detection via recurrent attentive-refinement networks
Shengtao Xiao, Jiashi Feng, Junliang Xing, Hanjiang Lai, Shuicheng Yan, and Ashraf Kassim · 2016
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Image captioning with semantic attention
Quanzeng You, Hailin Jin, Zhaowen Wang, Chen Fang, and Jiebo Luo · 2016
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Review networks for caption generation
Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, and William W. Cohen · 2016
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Areas of attention for image captioning
Marco Pedersoli, Thomas Lucas, Cordelia Schmid, and Jakob Verbeek · 2016
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Grounding of textual phrases in images by reconstruction
Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, and Bernt Schiele · 2016
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Hierarchical question-image co-attention for visual question answering
Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh · 2016
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Multimodal residual learning for visual qa
Jin-Hwa Kim, Sang-Woo Lee, Donghyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang · 2016
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Where to look: Focus regions for visual question answering
Kevin J Shih, Saurabh Singh, and Derek Hoiem · 2016
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Ask, attend and answer: Exploring question-guided spatial attention for visual question answering
Huijuan Xu and Kate Saenko · 2016
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Stacked attention networks for image question answering
Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alex Smola · 2016
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End-to-end learning of action detection from frame glimpses in videos
Serena Yeung, Olga Russakovsky, Greg Mori, and Li Fei-Fei · 2016
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Understanding neural networks through representation erasure
Jiwei Li, Will Monroe, and Dan Jurafsky · 2016
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J Liu, and Christopher D Manning · 2017
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Fusionnet: Fusing via fully-aware attention with application to machine comprehension
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, and Weizhu Chen · 2017
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Deep multimodal learning: A survey on recent advances and trends
Dhanesh Ramachandram and Graham W Taylor · 2017
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Global context-aware attention lstm networks for 3d action recognition
Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, and Alex C Kot · 2017
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Attention-based multimodal fusion for video description
Chiori Hori, Takaaki Hori, Teng-Yok Lee, Kazuhiro Sumi, John R. Hershey, and Tim K. Marks · 2017
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Dual attention networks for multimodal reasoning and matching
Hyeonseob Nam, Jung-Woo Ha, and Jeonghee Kim · 2017
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Episodic camn: Contextual attention-based memory networks with iterative feedback for scene labeling
Abrar H Abdulnabi, Bing Shuai, Stefan Winkler, and Gang Wang · 2017
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2017
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Weighted transformer network for machine translation
Karim Ahmed, Nitish Shirish Keskar, and Richard Socher · 2017
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Spatially adaptive computation time for residual networks
Michael Figurnov, Maxwell D Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry Vetrov, and Ruslan Salakhutdinov · 2017
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Squeeze-and-excitation networks
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, and Enhua Wu · 2017
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Distant supervision for relation extraction with sentence-level attention and entity descriptions
Guoliang Ji, Kang Liu, Shizhu He, and Jun Zhao · 2017
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Neural aggregation network for video face recognition
Jiaolong Yang, Peiran Ren, Dongqing Zhang, Dong Chen, Fang Wen, Hongdong Li, and Gang Hua · 2017
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A simple neural attentive meta-learner
Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, and Pieter Abbeel · 2017
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Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition
Jianlong Fu, Heliang Zheng, and Tao Mei · 2017
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Learning multi-attention convolutional neural network for fine-grained image recognition
Heliang Zheng, Jianlong Fu, Tao Mei, and Jiebo Luo · 2017
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A dual-stage attention-based recurrent neural network for time series prediction
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, and Garrison Cottrell · 2017
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Rpan: An end-to-end recurrent pose-attention network for action recognition in videos
Wenbin Du, Yali Wang, and Yu Qiao · 2017
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Variational memory addressing in generative models
Jörg Bornschein, Andriy Mnih, Daniel Zoran, and Danilo J Rezende · 2017
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Frustratingly short attention spans in neural language modeling
Michał Daniluk, Tim Rocktäschel, Johannes Welbl, and Sebastian Riedel · 2017
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Yoon Kim, Carl Denton, Luong Hoang, and Alexander M. Rush · 2017
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Online and linear-time attention by enforcing monotonic alignments, 2017
Colin Raffel, Douglas Eck, Peter Liu, Ron J. Weiss, and Thang Luong · 2017
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Sockeye: A toolkit for neural machine translation
Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar, Artem Sokolov, Ann Clifton, and Matt Post · 2017
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Graph convolutional encoders for syntax-aware neural machine translation
Joost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, and Khalil Sima’an · 2017
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Generating high-quality and informative conversation responses with sequence-to-sequence models
Louis Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, and Ray Kurzweil · 2017
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An end-to-end model for question answering over knowledge base with cross-attention combining global knowledge
Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, and Jun Zhao · 2017
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Neural tree indexers for text understanding
Tsendsuren Munkhdalai and Hong Yu · 2017
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Topic aware neural response generation
Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, and Wei-Ying Ma · 2017
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Interactive attention networks for aspect-level sentiment classification
Dehong Ma, Sujian Li, Xiaodong Zhang, and Houfeng Wang · 2017
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Datastories at semeval-2017 task 4: Deep lstm with attention for message-level and topic-based sentiment analysis
Christos Baziotis, Nikos Pelekis, and Christos Doulkeridis · 2017
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Recurrent attention network on memory for aspect sentiment analysis
Peng Chen, Zhongqian Sun, Lidong Bing, and Wei Yang · 2017
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Attention modeling for targeted sentiment
Jiangming Liu and Yue Zhang · 2017
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Hybrid ctc/attention architecture for end-to-end speech recognition
Shinji Watanabe, Takaaki Hori, Suyoun Kim, John R Hershey, and Tomoki Hayashi · 2017
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Joint ctc-attention based end-to-end speech recognition using multi-task learning
Suyoun Kim, Takaaki Hori, and Shinji Watanabe · 2017
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Takaaki Hori, Shinji Watanabe, Yu Zhang, and William Chan · 2017
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher · 2017
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Automatic speech emotion recognition using recurrent neural networks with local attention
Seyedmahdad Mirsamadi, Emad Barsoum, and Cha Zhang · 2017
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Michael Neumann and Ngoc Thang Vu · 2017
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