Learning Wake-Sleep Recurrent Attention Models

22 September 2015

Jimmy Ba

Papers citing "Learning Wake-Sleep Recurrent Attention Models"

37 / 37 papers shown

Title
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale Adam Pardyl Michal Wronka Maciej Wolczyk Kamil Adamczewski Tomasz Trzciñski Bartosz Zieliñski 33 2 0 04 Apr 2024
Estimating Conditional Mutual Information for Dynamic Feature Selection S. Gadgil Ian Covert Su-In Lee 24 3 0 05 Jun 2023
Inducing and Using Alignments for Transition-based AMR Parsing Andrew Drozdov Jiawei Zhou Radu Florian Andrew McCallum Tahira Naseem Yoon Kim Ramón Fernández Astudillo 26 27 0 03 May 2022
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes Derya Soydaner 3DV 36 149 0 27 Apr 2022
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes Samrudhdhi B. Rangrej C. Srinidhi J. Clark 11 12 0 01 Apr 2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives Pierre-Alexandre Mattei J. Frellsen 16 4 0 26 Jan 2022
A Probabilistic Hard Attention Model For Sequentially Observed Scenes Samrudhdhi B. Rangrej James J. Clark 24 12 0 15 Nov 2021
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness A. Kulkarni Shuo Han Nandi O. Leslie Charles A. Kamhoua Jie Fu 6 2 0 01 Apr 2021
Semi-supervised Sequential Generative Models Michael Teng T. Le Adam Scibior Frank D. Wood BDL AI4TS 15 3 0 30 Jun 2020
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training William Harvey Michael Teng Frank D. Wood 18 4 0 13 Jun 2019
Recurrent Existence Determination Through Policy Optimization Baoxiang Wang 10 1 0 29 May 2019
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 17 42 0 17 Dec 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 19 110 0 09 Oct 2018
Modeling Task Effects in Human Reading with Neural Network-based Attention Michael Hahn Frank Keller 21 16 0 31 Jul 2018
Latent Alignment and Variational Attention Yuntian Deng Yoon Kim Justin T. Chiu Demi Guo Alexander M. Rush BDL 18 110 0 10 Jul 2018
Probabilistic Adaptive Computation Time Michael Figurnov Artem Sobolev Dmitry Vetrov BDL 20 8 0 01 Dec 2017
Saliency-based Sequential Image Attention with Multiset Prediction Sean Welleck J. Mao Kyunghyun Cho Zheng-Wei Zhang 18 23 0 14 Nov 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization Hyeonwoo Noh Tackgeun You Jonghwan Mun Bohyung Han NoLa 19 196 0 14 Oct 2017
When Point Process Meets RNNs: Predicting Fine-Grained User Interests with Mutual Behavioral Infectivity Tongbing Chen Lin Wu Yang Wang Jun Zhang Hongxu Chen Xue Li AI4TS 14 0 0 14 Oct 2017
Variational Memory Addressing in Generative Models J. Bornschein A. Mnih Daniel Zoran Danilo Jimenez Rezende BDL 16 63 0 21 Sep 2017
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification Hajin Shim Sung Ju Hwang Eunho Yang 14 8 0 18 Sep 2017
ZhuSuan: A Library for Bayesian Deep Learning Jiaxin Shi Jianfei Chen Jun Zhu Shengyang Sun Yucen Luo Yihong Gu Yuhao Zhou UQCV BDL 33 43 0 18 Sep 2017
Learning Hard Alignments with Variational Inference Dieterich Lawson Chung-Cheng Chiu George Tucker Colin Raffel Kevin Swersky Navdeep Jaitly DRL 8 29 0 16 May 2017
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection Tong Chen Lin Wu Xue Li Jun Zhang Hongzhi Yin Yang Wang 11 271 0 20 Apr 2017
Textual Entailment with Structured Attentions and Composition Kai Zhao Liang Huang Mingbo Ma 29 28 0 04 Jan 2017
Adaptive Feature Abstraction for Translating Video to Text Yunchen Pu Martin Renqiang Min Zhe Gan Lawrence Carin 29 14 0 23 Nov 2016
Compacting Neural Network Classifiers via Dropout Training Yotaro Kubo George Tucker Simon Wiesler 26 10 0 18 Nov 2016
Modeling Human Reading with Neural Attention Michael Hahn Frank Keller 15 54 0 19 Aug 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 27 254 0 16 Mar 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 24 288 0 22 Feb 2016
Active Information Acquisition He He Paul Mineiro Nikos Karampatziakis 62 18 0 05 Feb 2016
Survey on the attention based RNN model and its applications in computer vision Feng Wang David Tax AI4TS AIMat 19 113 0 25 Jan 2016
Deep Attention Recurrent Q-Network Ivan Sorokin Alexey Seleznev Mikhail Pavlov A. Fedorov Anastasiia Ignateva 13 148 0 05 Dec 2015
Neural Variational Inference for Text Processing Yishu Miao Lei Yu Phil Blunsom VLM DRL 17 616 0 19 Nov 2015
Action Recognition using Visual Attention Shikhar Sharma Ryan Kiros Ruslan Salakhutdinov 24 666 0 12 Nov 2015
Testing Visual Attention in Dynamic Environments Philip Bachman David M. Krueger Doina Precup 19 0 0 30 Oct 2015
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions Mikhail Figurnov Aizhan Ibraimova Dmitry Vetrov Pushmeet Kohli 11 137 0 30 Apr 2015