Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

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Title
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 30 346 0 18 Jun 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 31 31 0 17 Jun 2020
Dissimilarity Mixture Autoencoder for Deep Clustering Juan S. Lara Fabio A. González 22 5 0 15 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 36 85 0 15 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 26 220 0 14 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 30 407 0 11 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 33 229 0 11 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 21 16 0 10 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 32 7 0 05 Jun 2020
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks Alexander Shekhovtsov V. Yanush B. Flach MQ 37 10 0 04 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era Angeliki Lazaridou Marco Baroni AI4CE 48 197 0 03 Jun 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 18 174 0 02 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
Class-Weighted Classification: Trade-offs and Robust Approaches Ziyu Xu Chen Dan Justin Khim Pradeep Ravikumar 24 39 0 26 May 2020
Fast differentiable DNA and protein sequence optimization for molecular design Johannes Linder Georg Seelig 30 54 0 22 May 2020
Robust Training of Vector Quantized Bottleneck Models A. Lancucki J. Chorowski Guillaume Sanchez R. Marxer Nanxin Chen Hans J. G. A. Dolfing Sameer Khurana Tanel Alumäe Antoine Laurent 29 58 0 18 May 2020
COVI White Paper H. Alsdurf Edmond Belliveau Yoshua Bengio T. Deleu Prateek Gupta ... Abhinav Sharma B. Struck Jian Tang Martin Weiss Y. Yu 24 29 0 18 May 2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation Zhiliang Tian Wei Bi Dongkyu Lee Lanqing Xue Yiping Song Xiaojiang Liu N. Zhang 27 25 0 13 May 2020
Minority Class Oversampling for Tabular Data with Deep Generative Models R. Camino Christian A. Hammerschmidt R. State 19 2 0 07 May 2020
Community Detection Clustering via Gumbel Softmax D. Acharya Huaming Zhang 10 17 0 05 May 2020
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer Chulun Zhou Liangyu Chen Jiachen Liu Xinyan Xiao Jinsong Su Sheng Guo Hua Wu 55 33 0 05 May 2020
How Does Selective Mechanism Improve Self-Attention Networks? Xinwei Geng Longyue Wang Xing Wang Bing Qin Ting Liu Zhaopeng Tu AAML 39 35 0 03 May 2020
On the Spontaneous Emergence of Discrete and Compositional Signals Nur Lan Emmanuel Chemla Shane Steinert-Threlkeld LRM 16 8 0 30 Apr 2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware Fei Sun Minghai Qin Tianyun Zhang Liu Liu Yen-kuang Chen Yuan Xie 34 7 0 24 Apr 2020
Superkernel Neural Architecture Search for Image Denoising Marcin Mo.zejko Tomasz Latkowski Lukasz Treszczotko Michal Szafraniuk K. Trojanowski SupR 27 16 0 19 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning Davide Abati Jakub M. Tomczak Tijmen Blankevoort Simone Calderara Rita Cucchiara B. Bejnordi CLL 42 184 0 31 Mar 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 21 262 0 31 Mar 2020
DeepLPF: Deep Local Parametric Filters for Image Enhancement Sean J. Moran Pierre Marza Jingyu Sun Sarah Parisot Greg Slabaugh 25 192 0 31 Mar 2020
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge Florian Hase Matteo Aldeghi Riley J. Hickman L. Roch Alán Aspuru-Guzik 47 105 0 26 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs Yiren Zhao Duo Wang Xitong Gao Robert D. Mullins Pietro Lio M. Jamnik GNN AI4CE 51 27 0 21 Mar 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network Yuhang Li Wei Wang Haoli Bai Ruihao Gong Xin Dong F. Yu MQ 21 20 0 17 Mar 2020
A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent UQCV NoLa 41 0 0 15 Mar 2020
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space Xiaoyuan Yi Ruoyu Li Cheng Yang Wenhao Li Maosong Sun 14 34 0 13 Mar 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation Haiyan Yin Dingcheng Li Xu Li P. Li 37 23 0 12 Mar 2020
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models Yankun Ren J. Lin Siliang Tang Jun Zhou Shuang Yang Yuan Qi Xiang Ren GAN AAML SILM 32 21 0 10 Mar 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 21 107 0 08 Mar 2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems Taisuke Kobayashis BDL DRL 22 17 0 04 Mar 2020
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data Sebastian Lunz Yingzhen Li Andrew Fitzgibbon Nate Kushman 3DV GAN 17 54 0 28 Feb 2020
Learning in the Frequency Domain Kai Xu Minghai Qin Fei Sun Yuhao Wang Yen-kuang Chen Fengbo Ren 39 395 0 27 Feb 2020
Sparse Sinkhorn Attention Yi Tay Dara Bahri Liu Yang Donald Metzler Da-Cheng Juan 23 330 0 26 Feb 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 30 40 0 25 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 30 16 0 23 Feb 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 23 7 0 22 Feb 2020
Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks Cedric De Boom S. V. Laere Tim Verbelen Bart Dhoedt MGen 24 12 0 21 Feb 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 29 106 0 20 Feb 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 39 40 0 20 Feb 2020
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue Byeongchang Kim Jaewoo Ahn Gunhee Kim BDL 44 167 0 18 Feb 2020
Learning Architectures for Binary Networks Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 25 44 0 17 Feb 2020
Differentiable Top-k Operator with Optimal Transport Yujia Xie H. Dai Minshuo Chen Bo Dai T. Zhao H. Zha Wei Wei Tomas Pfister OT 32 27 0 16 Feb 2020