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Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 3,025 papers shown

Title
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 82 77 0 19 Jun 2019
Joint Learning of Geometric and Probabilistic Constellation Shaping Maximilian Stark Fayçal Ait Aoudia J. Hoydis 57 83 0 18 Jun 2019
Scheduled Sampling for Transformers Tsvetomila Mihaylova André F. T. Martins 62 64 0 18 Jun 2019
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning Fan-Yun Sun Meng Qu Jordan Hoffmann Chin-Wei Huang Jian Tang BDL 130 92 0 18 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 69 225 0 18 Jun 2019
BERE: An accurate distantly supervised biomedical entity relation extraction network Lixiang Hong Jinjian Lin Jiang Tao Jianyang Zeng 51 14 0 17 Jun 2019
Structured Pruning of Recurrent Neural Networks through Neuron Selection Liangjiang Wen Xuanyang Zhang Haoli Bai Zenglin Xu 72 38 0 17 Jun 2019
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation Wenxian Shi Hao Zhou Ning Miao Lei Li CoGe DRL 46 8 0 16 Jun 2019
Amortized Bethe Free Energy Minimization for Learning MRFs Sam Wiseman Yoon Kim TPM DRL 51 11 0 14 Jun 2019
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces Guy Lorberbom Chris J. Maddison N. Heess Tamir Hazan Daniel Tarlow 90 8 0 14 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 154 76 0 13 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 72 242 0 11 Jun 2019
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods Karel Lenc Erich Elsen Tom Schaul Karen Simonyan 49 20 0 07 Jun 2019
Visually Grounded Neural Syntax Acquisition Freda Shi Jiayuan Mao Kevin Gimpel Karen Livescu NAI 122 85 0 07 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 247 2,385 0 06 Jun 2019
Amortized Inference of Variational Bounds for Learning Noisy-OR Yiming Yan Melissa Ailem Fei Sha BDL 39 1 0 06 Jun 2019
An Imitation Learning Approach to Unsupervised Parsing Bowen Li Lili Mou Frank Keller 89 24 0 05 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 142 10 0 05 Jun 2019
Learning to Compose and Reason with Language Tree Structures for Visual Grounding Richang Hong Daqing Liu Xiaoyu Mo Xiangnan He Hanwang Zhang ReLM LRM 106 166 0 05 Jun 2019
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection Chaotao Chen Jinhua Peng Fan Wang J. Xu Hua Wu 93 35 0 05 Jun 2019
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching Jihun Choi Taeuk Kim Sang-goo Lee BDL 77 6 0 04 Jun 2019
Transcoding compositionally: using attention to find more generalizable solutions K. Korrel Dieuwke Hupkes Verna Dankers Elia Bruni 71 31 0 04 Jun 2019
Bayesian Evidential Deep Learning with PAC Regularization Manuel Haussmann S. Gerwinn M. Kandemir UQCV EDL BDL 48 1 0 03 Jun 2019
Relation Embedding with Dihedral Group in Knowledge Graph Canran Xu Ruijiang Li 48 74 0 03 Jun 2019
Discovering Neural Wirings Mitchell Wortsman Ali Farhadi Mohammad Rastegari AI4CE 124 121 0 03 Jun 2019
Entropy Minimization In Emergent Languages Eugene Kharitonov Rahma Chaabouni Diane Bouchacourt Marco Baroni 101 3 0 31 May 2019
Efficient Neural Architecture Search via Proximal Iterations Quanming Yao Ju Xu Wei-Wei Tu Zhanxing Zhu 123 104 0 30 May 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 84 88 0 30 May 2019
Quantization Loss Re-Learning Method Kunping Li MQ 28 1 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 55 5 0 30 May 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning Huan Wang Stephan Zheng Caiming Xiong R. Socher 117 41 0 29 May 2019
Learning Navigation Subroutines from Egocentric Videos Ashish Kumar Saurabh Gupta Jitendra Malik SSL EgoV 85 13 0 29 May 2019
Anti-efficient encoding in emergent communication Rahma Chaabouni Eugene Kharitonov Emmanuel Dupoux Marco Baroni 107 99 0 29 May 2019
Switching Linear Dynamics for Variational Bayes Filtering Philip Becker-Ehmck Jan Peters Patrick van der Smagt BDL 73 47 0 29 May 2019
Lifelong Bayesian Optimization Yao Zhang James Jordon Ahmed Alaa M. Schaar 123 11 0 29 May 2019
EEG-based Emotional Video Classification via Learning Connectivity Structure Soobeom Jang Seong-Eun Moon Jong-Seok Lee 37 16 0 28 May 2019
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion Andy T. Liu Po-Chun Hsu Hung-yi Lee SSL 73 30 0 28 May 2019
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization Ting-Hao 'Kenneth' Huang Gehui Shen Zhihong Deng VLM AI4TS 48 22 0 28 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 111 39 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 128 43 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 76 30 0 25 May 2019
Bivariate Beta-LSTM Kyungwoo Song Joonho Jang Seung-Jae Shin Il-Chul Moon 49 6 0 25 May 2019
Semi-supervised Learning with Contrastive Predicative Coding Jiaxing Wang Yin Zheng Xiaoshuang Chen Junzhou Huang Jian Cheng SSL 26 0 0 25 May 2019
Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole DRL 166 117 0 24 May 2019
Adversarial Learned Molecular Graph Inference and Generation Sebastian Polsterl Christian Wachinger GAN 122 7 0 24 May 2019
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems Adel Abusitta Esma Aïmeur Omar Abdel Wahab AI4CE GAN 74 21 0 23 May 2019
Training language GANs from Scratch Cyprien de Masson dÁutume Mihaela Rosca Jack W. Rae S. Mohamed GAN SyDa 74 87 0 23 May 2019
Neural ODEs with stochastic vector field mixtures Niall Twomey Michał Kozłowski Raúl Santos-Rodríguez 51 4 0 23 May 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 83 243 0 23 May 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement Yeonwoo Jeong Hyun Oh Song 53 49 0 23 May 2019