Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 1,042 papers shown

Title
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 37 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 27 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
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors Trung Trinh Tho Quan Trung Mai BDL 17 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
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
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 22 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
Learning to Adaptively Scale Recurrent Neural Networks Hao Hu Liqiang Wang Guo-Jun Qi AI4CE 20 9 0 15 Feb 2019
StampNet: unsupervised multi-class object discovery Joost Visser Alessandro Corbetta Vlado Menkovski F. Toschi ObjD 19 4 0 07 Feb 2019
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution Fei Liu Luke Zettlemoyer Jacob Eisenstein 40 16 0 05 Feb 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 21 193 0 29 Jan 2019
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction Abubakar Abid M. F. Balin James Zou SyDa 15 224 0 27 Jan 2019
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies A. Chandar Chinnadhurai Sankar Eugene Vorontsov Samira Ebrahimi Kahou Yoshua Bengio 26 56 0 22 Jan 2019
Error-Correcting Neural Sequence Prediction James OÑeill Danushka Bollegala 23 1 0 21 Jan 2019
Bayesian Learning of Neural Network Architectures G. Dikov Patrick van der Smagt Justin Bayer BDL 31 30 0 14 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 71 0 12 Jan 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 21 101 0 09 Jan 2019
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation Cristina Garbacea Samuel Carton Shiyan Yan Qiaozhu Mei ELM 25 29 0 02 Jan 2019
Learning to Explain with Complemental Examples Atsushi Kanehira Tatsuya Harada 12 40 0 04 Dec 2018