Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 1,115 papers shown

Title
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 51 413 0 11 Aug 2019
SqueezeNAS: Fast neural architecture search for faster semantic segmentation Albert Eaton Shaw D. Hunter F. Iandola Sammy Sidhu SSeg 29 73 0 05 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 22 1,423 0 02 Aug 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders G. Loaiza-Ganem John P. Cunningham DRL 29 83 0 16 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 32 60 0 11 Jul 2019
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 54 1,207 0 01 Jul 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 30 27 0 26 Jun 2019
Latent Multi-Criteria Ratings for Recommendations Pan Li Alexander Tuzhilin 17 23 0 26 Jun 2019
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks Jielong Yang Wee Peng Tay BDL 21 8 0 25 Jun 2019
Learning Causal State Representations of Partially Observable Environments Amy Zhang Zachary Chase Lipton Luis Villaseñor-Pineda Kamyar Azizzadenesheli Anima Anandkumar Laurent Itti Joelle Pineau Tommaso Furlanello CML 40 49 0 25 Jun 2019
Densely Connected Search Space for More Flexible Neural Architecture Search Jiemin Fang Yuzhu Sun Qian Zhang Yuan Li Wenyu Liu Xinggang Wang 21 122 0 23 Jun 2019
Learning Compressed Sentence Representations for On-Device Text Processing Dinghan Shen Pengyu Cheng Dhanasekar Sundararaman Xinyuan Zhang Qian Yang Meng Tang Asli Celikyilmaz Lawrence Carin 18 22 0 19 Jun 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 38 77 0 19 Jun 2019
Joint Learning of Geometric and Probabilistic Constellation Shaping Maximilian Stark Fayçal Ait Aoudia J. Hoydis 36 81 0 18 Jun 2019
Scalable Neural Architecture Search for 3D Medical Image Segmentation Sungwoong Kim Ildoo Kim Sungbin Lim Woonhyuk Baek Chiheon Kim Hyungjoon Cho Boogeon Yoon Taesup Kim 27 74 0 13 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 38 239 0 11 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings P. Elinas Edwin V. Bonilla Louis C. Tiao BDL GNN 26 10 0 05 Jun 2019
Transcoding compositionally: using attention to find more generalizable solutions K. Korrel Dieuwke Hupkes Verna Dankers Elia Bruni 30 31 0 04 Jun 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 27 88 0 30 May 2019
Adversarial Sub-sequence for Text Generation Xingyuan Chen Yanzhe Li Peng Jin Jiuhua Zhang Xinyu Dai Jiajun Chen Gang Song GAN 35 5 0 30 May 2019
Mixed Precision DNNs: All you need is a good parametrization Stefan Uhlich Lukas Mauch Fabien Cardinaux K. Yoshiyama Javier Alonso García Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 27 38 0 27 May 2019
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization Bingchen Liu Yizhe Zhu Zuohui Fu Gerard de Melo Ahmed Elgammal CML 9 41 0 26 May 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning A. H. Qureshi Jacob J. Johnson Yuzhe Qin Taylor Henderson Byron Boots Michael C. Yip OffRL 22 30 0 25 May 2019
Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole DRL 24 114 0 24 May 2019
Neural ODEs with stochastic vector field mixtures Niall Twomey Michał Kozłowski Raúl Santos-Rodríguez 19 4 0 23 May 2019
Generative Imputation and Stochastic Prediction Mohammad Kachuee Kimmo Karkkainen Orpaz Goldstein Sajad Darabi Majid Sarrafzadeh 30 23 0 22 May 2019
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders Avi Caciularu D. Burshtein 20 48 0 21 May 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 32 211 0 20 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 35 80 0 14 May 2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges Jason Ramapuram Russ Webb DRL 19 9 0 09 May 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables Mingzhang Yin Yuguang Yue Mingyuan Zhou 19 23 0 04 May 2019
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors Trung Trinh Tho Quan Trung Mai BDL 19 2 0 01 May 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 40 78 0 29 Apr 2019
Learning to Collocate Neural Modules for Image Captioning Xu Yang Hanwang Zhang Jianfei Cai 25 77 0 18 Apr 2019
Question Guided Modular Routing Networks for Visual Question Answering Yanze Wu Qiang Sun Jianqi Ma Bin Li Yanwei Fu Yao Peng Xiangyang Xue 23 1 0 17 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 33 113 0 04 Apr 2019
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation Weijia Xu Xing Niu Marine Carpuat 24 10 0 04 Apr 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 30 410 0 28 Mar 2019
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder Masataro Asai Hiroshi Kajino 22 15 0 27 Mar 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors Fang-I Hsiao Jui-Hsuan Kuo Min Sun OffRL 21 14 0 25 Mar 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 22 45 0 18 Mar 2019
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat Duo Wang M. Jamnik Pietro Lio BDL OCL 26 5 0 14 Mar 2019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement W. Kool H. V. Hoof Max Welling 71 215 0 14 Mar 2019
Consistent Dialogue Generation with Self-supervised Feature Learning Yizhe Zhang Xiang Gao Sungjin Lee Chris Brockett Michel Galley Jianfeng Gao W. Dolan 30 28 0 13 Mar 2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry Changhao Chen Stefano Rosa Yishu Miao Chris Xiaoxuan Lu Wei Wu Andrew Markham A. Trigoni 22 132 0 04 Mar 2019
Introducing Super Pseudo Panels: Application to Transport Preference Dynamics S. Borysov Jeppe Rich AI4TS 24 7 0 01 Mar 2019
Learning to Generate Questions by Learning What not to Generate Bang Liu Mingjun Zhao Di Niu Kunfeng Lai Yancheng He Haojie Wei Yu-Syuan Xu OOD 20 102 0 27 Feb 2019
Image-Question-Answer Synergistic Network for Visual Dialog Dalu Guo Chang Xu Dacheng Tao 19 74 0 26 Feb 2019
Cooperative Learning of Disjoint Syntax and Semantics Serhii Havrylov Germán Kruszewski Armand Joulin 18 48 0 25 Feb 2019
Dual Attention Networks for Visual Reference Resolution in Visual Dialog Gi-Cheon Kang Jaeseo Lim Byoung-Tak Zhang 22 72 0 25 Feb 2019