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Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

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Title
Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment Yusuke Yasuda Xin Wang Junichi Yamagishi 33 2 0 28 Oct 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 157 390 0 27 Oct 2019
A Gibbs sampler for a class of random convex polytopes Pierre E. Jacob Ruobin Gong P. Edlefsen A. Dempster 53 14 0 25 Oct 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning Cinjon Resnick Abhinav Gupta Jakob N. Foerster Andrew M. Dai Kyunghyun Cho 71 50 0 24 Oct 2019
Feature Selection and Extraction for Graph Neural Networks D. Acharya Huaming Zhang 46 28 0 23 Oct 2019
Neural Execution of Graph Algorithms Petar Velickovic Rex Ying Matilde Padovano R. Hadsell Charles Blundell GNN 101 172 0 23 Oct 2019
Deep Clustering of Compressed Variational Embeddings Suya Wu Enmao Diao Jie Ding Vahid Tarokh 38 1 0 23 Oct 2019
Improving the Gating Mechanism of Recurrent Neural Networks Albert Gu Çağlar Gülçehre T. Paine Matthew W. Hoffman Razvan Pascanu AI4CE 35 2 0 22 Oct 2019
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong Bryan Seybold Kevin Patrick Murphy Hung Bui BDL 86 32 0 21 Oct 2019
Generative Hierarchical Models for Parts, Objects, and Scenes Fei Deng Zhuo Zhi Sungjin Ahn OCL 46 3 0 21 Oct 2019
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 156 117 0 18 Oct 2019
Differentiable Combinatorial Losses through Generalized Gradients of Linear Programs Xi Gao Han Zhang Ali (Aliakbar) Panahi Tom Arodz 48 1 0 18 Oct 2019
Deep clustering with concrete k-means Boyan Gao Yongxin Yang Henry Gouk Timothy M. Hospedales 42 17 0 17 Oct 2019
Learning Generalisable Omni-Scale Representations for Person Re-Identification Kaiyang Zhou Yongxin Yang Andrea Cavallaro Tao Xiang 121 226 0 15 Oct 2019
A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme Paavo Parmas Masashi Sugiyama 48 3 0 14 Oct 2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations Alexei Baevski Steffen Schneider Michael Auli SSL 192 669 0 12 Oct 2019
The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents Shangmin Guo Yi Ren Serhii Havrylov Stella Frank Ivan Titov Kenny Smith 81 37 0 11 Oct 2019
Semi-Supervised Variational Autoencoder for Survival Prediction Sveinn Pálsson Stefano Cerri Andrea Dittadi Koen van Leemput DRL 37 5 0 10 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours Xuanyi Dong Yezhou Yang 201 656 0 10 Oct 2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards Siyuan Li Rui Wang Minxue Tang Chongjie Zhang 77 83 0 10 Oct 2019
Learn to Explain Efficiently via Neural Logic Inductive Learning Yu’an Yang Le Song NAI 99 77 0 06 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations Jindong Jiang Sepehr Janghorbani Gerard de Melo Sungjin Ahn OCL DRL 132 133 0 06 Oct 2019
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents Nikolaos Malandrakis Minmin Shen Anuj Kumar Goyal Shuyang Gao Abhishek Sethi A. Metallinou 89 54 0 04 Oct 2019
Developmentally motivated emergence of compositional communication via template transfer Tomasz Korbak Julian Zubek L. Kucinski Piotr Milos J. Rączaszek-Leonardi 53 14 0 04 Oct 2019
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics J. Ackermann Pau Cebrian Antonio Espinosa Masashi Sugiyama OffRL 70 122 0 03 Oct 2019
SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders Peter J. Liu Yu-An Chung Jie Jessie Ren 113 20 0 02 Oct 2019
Variational Temporal Abstraction Taesup Kim Sungjin Ahn Yoshua Bengio DRL 102 65 0 02 Oct 2019
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data Utkarsh Ojha Krishna Kumar Singh Cho-Jui Hsieh Yong Jae Lee DRL 49 3 0 01 Oct 2019
Proximal Policy Optimization for Improved Convergence in IRGAN Moksh Jain S. SowmyaKamath 18 2 0 01 Oct 2019
Specializing Word Embeddings (for Parsing) by Information Bottleneck Xiang Lisa Li Jason Eisner 76 67 0 01 Oct 2019
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier UQCV 60 58 0 30 Sep 2019
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models Raheel Qader François Portet Cyril Labbe 152 23 0 29 Sep 2019
The Detection of Distributional Discrepancy for Text Generation Xingyuan Chen Ping Cai Peng Jin Haokun Du Hongjun Wang Xingyu Dai Jiajun Chen 31 0 0 28 Sep 2019
LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling Jinsung Yoon Sercan O. Arik Tomas Pfister FAtt 39 2 0 26 Sep 2019
Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur Marin Bilos Stephan Günnemann AI4TS 98 172 0 26 Sep 2019
LAVAE: Disentangling Location and Appearance Andrea Dittadi Ole Winther OCL BDL DRL 144 6 0 25 Sep 2019
Data Valuation using Reinforcement Learning Jinsung Yoon Sercan O. Arik Tomas Pfister TDI 93 183 0 25 Sep 2019
Matching Embeddings for Domain Adaptation M. Pérez-Carrasco Guillermo Cabrera-Vives P. Protopapas N. Astorga Marouan Belhaj GAN DRL 47 1 0 25 Sep 2019
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders M. Willetts Stephen J. Roberts Chris Holmes CoGe DRL 75 16 0 25 Sep 2019
CAT: Compression-Aware Training for bandwidth reduction Chaim Baskin Brian Chmiel Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 69 12 0 25 Sep 2019
Multi-Dimensional Explanation of Target Variables from Documents Diego Antognini C. Musat Boi Faltings 68 2 0 25 Sep 2019
Particle Smoothing Variational Objectives A. Moretti Zizhao Wang Luhuan Wu Iddo Drori I. Pe’er 80 10 0 20 Sep 2019
Improved Variational Neural Machine Translation by Promoting Mutual Information Arya D. McCarthy Xian Li Jiatao Gu Ning Dong DRL 49 7 0 19 Sep 2019
Multi-sense Definition Modeling using Word Sense Decompositions Ruimin Zhu Thanapon Noraset Alisa Liu Wenxin Jiang Doug Downey 48 9 0 19 Sep 2019
Scalable Deep Unsupervised Clustering with Concrete GMVAEs Mark Collier Hector Urdiales DRL 38 3 0 18 Sep 2019
Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs Jing Liu Fei Gao Jiang Zhang 27 4 0 16 Sep 2019
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever Libo Qin Yijia Liu Wanxiang Che Haoyang Wen Yangming Li Ting Liu RALM 104 62 0 15 Sep 2019
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 175 319 0 13 Sep 2019
What do Deep Networks Like to Read? Jonas Pfeiffer Aishwarya Kamath Iryna Gurevych Sebastian Ruder 47 3 0 10 Sep 2019
Neural Gaussian Copula for Variational Autoencoder P. Wang William Yang Wang BDL DRL 61 13 0 09 Sep 2019