Latent Alignment and Variational Attention

10 July 2018

Papers citing "Latent Alignment and Variational Attention"

50 / 68 papers shown

Title
Learning Audio-Visual Correlations from Variational Cross-Modal Generation Ye Zhu Yu Wu Hugo Latapie Yi Yang Yan Yan SSL 88 20 0 05 Feb 2021
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
Hard Non-Monotonic Attention for Character-Level Transduction Shijie Wu Pamela Shapiro Ryan Cotterell 52 42 0 29 Aug 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 134 113 0 05 Jun 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 67 29 0 28 May 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement Jason D. Lee Elman Mansimov Kyunghyun Cho DiffM BDL 60 456 0 19 Feb 2018
SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae André F. T. Martins Mathieu Blondel Claire Cardie 43 123 0 12 Feb 2018
Differentiable Dynamic Programming for Structured Prediction and Attention A. Mensch Mathieu Blondel 60 131 0 11 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 135 243 0 07 Feb 2018
Variational Recurrent Neural Machine Translation Jinsong Su Shan Wu Deyi Xiong Yaojie Lu Xianpei Han Biao Zhang DRL 65 83 0 16 Jan 2018
Variational Attention for Sequence-to-Sequence Models Hareesh Bahuleyan Lili Mou Olga Vechtomova Pascal Poupart DRL 72 117 0 21 Dec 2017
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 67 184 0 15 Nov 2017
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 82 186 0 14 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 94 300 0 31 Oct 2017
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 76 85 0 17 Oct 2017
Variational Memory Addressing in Generative Models J. Bornschein A. Mnih Daniel Zoran Danilo Jimenez Rezende BDL 59 63 0 21 Sep 2017
Classification of Radiology Reports Using Neural Attention Models Bonggun Shin F. Chokshi Timothy Lee Jinho Choi 64 48 0 22 Aug 2017
Structured Attentions for Visual Question Answering Chen Zhu Yanpeng Zhao Shuaiyi Huang Kewei Tu Yi-An Ma FAtt 70 107 0 07 Aug 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould Lei Zhang AIMat 121 4,216 0 25 Jul 2017
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 348 204 0 06 Jul 2017
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 372 1,225 0 12 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Learning Structured Text Representations Yang Liu Mirella Lapata 61 152 0 25 May 2017
A Regularized Framework for Sparse and Structured Neural Attention Vlad Niculae Mathieu Blondel 84 100 0 22 May 2017
Learning Hard Alignments with Variational Inference Dieterich Lawson Chung-Cheng Chiu George Tucker Colin Raffel Kevin Swersky Navdeep Jaitly DRL 42 29 0 16 May 2017
Online and Linear-Time Attention by Enforcing Monotonic Alignments Colin Raffel Minh-Thang Luong Peter J. Liu Ron J. Weiss Douglas Eck 70 261 0 03 Apr 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker A. Mnih Chris J. Maddison John Lawson Jascha Narain Sohl-Dickstein BDL 214 282 0 21 Mar 2017
Autoencoding Variational Inference For Topic Models Akash Srivastava Charles Sutton BDL DRL 152 564 0 04 Mar 2017
Structured Attention Networks Yoon Kim Carl Denton Luong Hoang Alexander M. Rush 108 463 0 03 Feb 2017
The Neural Noisy Channel Lei Yu Phil Blunsom Chris Dyer Edward Grefenstette Tomás Kociský 60 67 0 08 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 334 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 193 2,531 0 02 Nov 2016
Iterative Refinement for Machine Translation Roman Novak Michael Auli David Grangier CLL 43 29 0 20 Oct 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 90 457 0 30 Sep 2016
Online Segment to Segment Neural Transduction Lei Yu Jan Buys Phil Blunsom 95 82 0 26 Sep 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 897 6,790 0 26 Sep 2016
Dropout with Expectation-linear Regularization Xuezhe Ma Yingkai Gao Zhiting Hu Yaoliang Yu Yuntian Deng Eduard H. Hovy UQCV 53 50 0 26 Sep 2016
Image-to-Markup Generation with Coarse-to-Fine Attention Yuntian Deng Anssi Kanervisto Jeffrey Ling Alexander M. Rush 44 228 0 16 Sep 2016
An Actor-Critic Algorithm for Sequence Prediction Dzmitry Bahdanau Philemon Brakel Kelvin Xu Anirudh Goyal Ryan J. Lowe Joelle Pineau Aaron Courville Yoshua Bengio 130 639 0 24 Jul 2016
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes Çağlar Gülçehre A. Chandar Kyunghyun Cho Yoshua Bengio 123 64 0 30 Jun 2016
Sequence-to-Sequence Learning as Beam-Search Optimization Sam Wiseman Alexander M. Rush 121 594 0 09 Jun 2016
Variational Neural Machine Translation Biao Zhang Deyi Xiong Jinsong Su Hong Duan Min Zhang VLM DRL 61 203 0 25 May 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 112 398 0 24 May 2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues Iulian Serban Alessandro Sordoni Ryan J. Lowe Laurent Charlin Joelle Pineau Aaron Courville Yoshua Bengio BDL 136 1,106 0 19 May 2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning Jiatao Gu Zhengdong Lu Hang Li Victor O.K. Li 192 1,540 0 21 Mar 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 159 290 0 22 Feb 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification André F. T. Martins Ramón Fernández Astudillo 176 725 0 05 Feb 2016
Modeling Coverage for Neural Machine Translation Zhaopeng Tu Zhengdong Lu Yang Liu Xiaohua Liu Hang Li 92 748 0 19 Jan 2016
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model Trevor Cohn Cong Duy Vu Hoang Ekaterina Vymolova Kaisheng Yao Chris Dyer Gholamreza Haffari 69 174 0 06 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015