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The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 November 2016

Papers citing "The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables"

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Title
Improving Discrete Latent Representations With Differentiable Approximation BridgesIEEE International Joint Conference on Neural Network (IJCNN), 2019 Jason Ramapuram Russ Webb DRL 92 9 0 09 May 2019
Differentiable Architecture Search with Ensemble Gumbel-Softmax Jianlong Chang Xinbang Zhang Yiwen Guo Gaofeng Meng Shiming Xiang Chunhong Pan 3DPC 107 19 0 06 May 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical VariablesInternational Conference on Machine Learning (ICML), 2019 Mingzhang Yin Yuguang Yue Mingyuan Zhou 166 24 0 04 May 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 239 277 0 04 May 2019
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors Trung Trinh Tho Quan Trung Mai BDL 267 3 0 01 May 2019
SEALion: a Framework for Neural Network Inference on Encrypted Data Tim van Elsloo Giorgio Patrini Hamish Ivey-Law FedML 211 49 0 29 Apr 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 216 93 0 29 Apr 2019
TreeGrad: Transferring Tree Ensembles to Neural Networks Chapman Siu AI4CE 115 6 0 25 Apr 2019
GAN Augmented Text Anomaly Detection with Sequences of Deep Statistics Mariem Ben Fadhel K. Nyarko AI4TS 89 3 0 24 Apr 2019
Obfuscation for Privacy-preserving Syntactic Parsing Zhifeng Hu Serhii Havrylov Ivan Titov Shay B. Cohen 158 8 0 21 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 227 2 0 17 Apr 2019
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks Ryan Eloff A. Nortje Benjamin van Niekerk Avashna Govender Leanne Nortje Arnu Pretorius Elan Van Biljon Ewald van der Westhuizen Lisa van Staden Herman Kamper DRL 195 59 0 16 Apr 2019
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search Kartik Goyal Chris Dyer Taylor Berg-Kirkpatrick 123 17 0 15 Apr 2019
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning Jiaqi Guan Ye Yuan Kris Kitani Nicholas Rhinehart AI4TS 187 32 0 12 Apr 2019
$L_0$ -ARM: Network Sparsification via Stochastic Binary Optimization Yang Li Shihao Ji MQ 229 15 0 09 Apr 2019
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression Christos Baziotis Ion Androutsopoulos Ioannis Konstas Alexandros Potamianos 215 85 0 07 Apr 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling Jiancheng Yang Qiang Zhang Bingbing Ni Linguo Li Jinxian Liu Mengdie Zhou Qi Tian 3DPC 288 415 0 06 Apr 2019
Attention Distillation for Learning Video Representations Miao Liu Xin Chen Yun C. Zhang Yin Li James M. Rehg 124 2 0 05 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 176 134 0 04 Apr 2019
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 162 1 0 03 Apr 2019
Deep Industrial Espionage Samuel Albanie James Thewlis Sébastien Ehrhardt Joao Henriques 88 2 0 01 Apr 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 300 464 0 28 Mar 2019
Information Maximizing Visual Question Generation Ranjay Krishna Michael S. Bernstein Li Fei-Fei 212 101 0 27 Mar 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors Fang-I Hsiao Jui-Hsuan Kuo Min Sun OffRL 88 15 0 25 Mar 2019
Stochastic Optimization of Sorting Networks via Continuous RelaxationsInternational Conference on Learning Representations (ICLR), 2019 Aditya Grover Eric Wang Aaron Zweig Stefano Ermon 242 193 0 21 Mar 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 237 47 0 18 Mar 2019
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog ConversationsTransactions of the Association for Computational Linguistics (TACL), 2019 Jichuan Zeng Jing Li Yulan He Cuiyun Gao Michael R. Lyu Irwin King BDL 103 29 0 18 Mar 2019
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat Duo Wang M. Jamnik Pietro Lio BDL OCL 162 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 463 258 0 14 Mar 2019
Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy Yunhao Tang Mingzhang Yin Mingyuan Zhou 62 0 0 13 Mar 2019
Imitation Learning of Factored Multi-agent Reactive Models Michael Teng T. Le Adam Scibior Frank Wood DRL 141 1 0 12 Mar 2019
SSN: Learning Sparse Switchable Normalization via SparsestMax Wenqi Shao Jiamin Ren Jingyu Li Ruimao Zhang Yudian Li Xiaogang Wang Ping Luo 111 57 0 09 Mar 2019
Multi-Hot Compact Network Embedding Chaozhuo Li Senzhang Wang Philip S. Yu Zhoujun Li 131 8 0 07 Mar 2019
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Yuanshuo Zhou Bradley Gram-Hansen Tobias Kohn Tom Rainforth Hongseok Yang Frank Wood 190 25 0 06 Mar 2019
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision Jiangchao Yao Ya Zhang Ivor W. Tsang Jun-wei Sun NoLa 117 1 0 06 Mar 2019
Selective Sensor Fusion for Neural Visual-Inertial OdometryComputer Vision and Pattern Recognition (CVPR), 2019 Changhao Chen Stefano Rosa Yishu Miao Chris Xiaoxuan Lu Wei Wu Andrew Markham A. Trigoni 139 152 0 04 Mar 2019
Introducing Super Pseudo Panels: Application to Transport Preference Dynamics S. Borysov Jeppe Rich AI4TS 132 6 0 01 Mar 2019
Improving Missing Data Imputation with Deep Generative Models R. Camino Christian A. Hammerschmidt R. State SyDa 175 62 0 27 Feb 2019
Cooperative Learning of Disjoint Syntax and Semantics Serhii Havrylov Germán Kruszewski Armand Joulin 200 48 0 25 Feb 2019
Dual Attention Networks for Visual Reference Resolution in Visual Dialog Gi-Cheon Kang Jaeseo Lim Byoung-Tak Zhang 177 76 0 25 Feb 2019
Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks Shubham Gupta Ambedkar Dukkipati 190 4 0 19 Feb 2019
Learning to Adaptively Scale Recurrent Neural Networks Hao Hu Liqiang Wang Guo-Jun Qi AI4CE 127 11 0 15 Feb 2019
Deep Hashing using Entropy Regularised Product Quantisation Network Jo Schlemper Jose Caballero Andrew P. Aitken Joost R. van Amersfoort 161 1 0 11 Feb 2019
Invariant-equivariant representation learning for multi-class dataInternational Conference on Machine Learning (ICML), 2019 Ilya Feige 134 10 0 08 Feb 2019
StampNet: unsupervised multi-class object discovery Joost Visser Alessandro Corbetta Vlado Menkovski F. Toschi ObjD 123 4 0 07 Feb 2019
Radial and Directional Posteriors for Bayesian Neural Networks Changyong Oh Kamil Adamczewski Mijung Park BDL 188 21 0 07 Feb 2019
Decentralized Multi-Agents by Imitation of a Centralized Controller A. Lin Mark J. Debord Katia Estabridis G. Hewer Guido Montufar Stanley Osher 246 6 0 06 Feb 2019
Learning Decision Trees Recurrently Through Communication Stephan Alaniz Diego Marcos Bernt Schiele Zeynep Akata 151 16 0 05 Feb 2019
A Relational Tucker Decomposition for Multi-Relational Link Prediction Yanjie Wang Samuel Broscheit Rainer Gemulla 127 7 0 03 Feb 2019
Differentiable Grammars for VideosAAAI Conference on Artificial Intelligence (AAAI), 2019 A. Piergiovanni A. Angelova Michael S. Ryoo 225 6 0 01 Feb 2019