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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
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 103 43 0 25 Feb 2020
Low-Resource Knowledge-Grounded Dialogue Generation Xueliang Zhao Wei Wu Chongyang Tao Can Xu Dongyan Zhao Rui Yan 119 110 0 24 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 87 16 0 23 Feb 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 118 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 59 12 0 21 Feb 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 101 109 0 20 Feb 2020
The continuous categorical: a novel simplex-valued exponential family E. Gordon-Rodríguez Gabriel Loaiza-Ganem John P. Cunningham 89 21 0 20 Feb 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 88 41 0 20 Feb 2020
Hierarchical Quantized Autoencoders Will Williams Sam Ringer T. Ash John Hughes D. Macleod Jamie Dougherty BDL DRL 93 66 0 19 Feb 2020
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue Byeongchang Kim Jaewoo Ahn Gunhee Kim BDL 112 169 0 18 Feb 2020
Controlling Computation versus Quality for Neural Sequence Models Ankur Bapna N. Arivazhagan Orhan Firat 87 30 0 17 Feb 2020
Learning Architectures for Binary Networks Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 91 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 70 27 0 16 Feb 2020
Estimating Gradients for Discrete Random Variables by Sampling without Replacement W. Kool H. V. Hoof Max Welling BDL 143 50 0 14 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 147 155 0 13 Feb 2020
Learnable Bernoulli Dropout for Bayesian Deep Learning Shahin Boluki Randy Ardywibowo Siamak Zamani Dadaneh Mingyuan Zhou Xiaoning Qian BDL 63 34 0 12 Feb 2020
Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images Ali Hatamizadeh Demetri Terzopoulos Andriy Myronenko 51 17 0 11 Feb 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 172 223 0 10 Feb 2020
A Probabilistic Formulation of Unsupervised Text Style Transfer Junxian He Xinyi Wang Graham Neubig Taylor Berg-Kirkpatrick OOD 79 132 0 10 Feb 2020
Discrete Action On-Policy Learning with Action-Value Critic Yuguang Yue Yunhao Tang Mingzhang Yin Mingyuan Yin OffRL 78 5 0 10 Feb 2020
Multimodal Controller for Generative Models Enmao Diao Jie Ding Vahid Tarokh 79 3 0 07 Feb 2020
Product Kanerva Machines: Factorized Bayesian Memory Adam H. Marblestone Yongpeng Wu Greg Wayne 72 9 0 06 Feb 2020
An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning Anssi Kanervisto Ville Hautamaki Tomi Kinnunen Junichi Yamagishi 28 2 0 06 Feb 2020
Structural Inductive Biases in Emergent Communication Agnieszka Słowik Abhinav Gupta William L. Hamilton M. Jamnik S. Holden C. Pal AI4CE 63 5 0 04 Feb 2020
Learning Extremal Representations with Deep Archetypal Analysis S. Keller M. Samarin Fabricio Arend Torres Mario Wieser Volker Roth 78 24 0 03 Feb 2020
Fast Generating A Large Number of Gumbel-Max Variables Yiyan Qi Peijie Wang Yuanming Zhang Junzhou Zhao Guangjian Tian X. Guan 26 4 0 02 Feb 2020
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views Milad Sefidgaran Iñaki Estella Aguerri S. Shamai 62 90 0 31 Jan 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 143 149 0 28 Jan 2020
Towards Graph Representation Learning in Emergent Communication Agnieszka Słowik Abhinav Gupta William L. Hamilton M. Jamnik S. Holden 124 4 0 24 Jan 2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection Rujikorn Charakorn Y. Thawornwattana Sirawaj Itthipuripat Nick Pawlowski P. Manoonpong Nat Dilokthanakul DRL OCL 68 13 0 24 Jan 2020
Keyword-based Topic Modeling and Keyword Selection Xingyu Wang Lida Zhang Diego Klabjan BDL 62 3 0 22 Jan 2020
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau AAML 63 10 0 22 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 109 847 0 20 Jan 2020
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search Daoyuan Chen Yaliang Li Minghui Qiu Zhen Wang Bofang Li Bolin Ding Hongbo Deng Jun Huang Wei Lin Jingren Zhou MQ 103 104 0 13 Jan 2020
Co-evolution of language and agents in referential games Gautier Dagan Dieuwke Hupkes Elia Bruni 92 35 0 10 Jan 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition Zhixuan Lin Yi-Fu Wu Skand Peri Weihao Sun Gautam Singh Fei Deng Jindong Jiang Sungjin Ahn BDL OCL 3DPC 199 250 0 08 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 92 51 0 07 Jan 2020
Paraphrase Generation with Latent Bag of Words Yao Fu Yansong Feng John P. Cunningham BDL 114 92 0 07 Jan 2020
Generalizing Emergent Communication Thomas A. Unger Elia Bruni 63 1 0 06 Jan 2020
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising Ziyi Yang Chenguang Zhu R. Gmyr Michael Zeng Xuedong Huang Eric Darve 101 61 0 03 Jan 2020
Model Inversion Networks for Model-Based Optimization Aviral Kumar Sergey Levine OffRL 97 100 0 31 Dec 2019
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation Xinjie Fan Yizhe Zhang Zhendong Wang Mingyuan Zhou BDL 72 4 0 31 Dec 2019
Learning Selective Sensor Fusion for States Estimation Changhao Chen Stefano Rosa Chris Xiaoxuan Lu Bing Wang Niki Trigoni Andrew Markham 57 20 0 30 Dec 2019
Searching for Stage-wise Neural Graphs In the Limit Xiaoxia Zhou Dejing Dou Boyang Albert Li GNN 48 2 0 30 Dec 2019
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning Keng Wah Loon L. Graesser Milan Cvitkovic OffRL 48 13 0 28 Dec 2019
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax Andres Potapczynski Gabriel Loaiza-Ganem John P. Cunningham 111 30 0 19 Dec 2019
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation Xin Dong Jingchao Ni Wei Cheng Zhengzhang Chen Bo Zong Dongjin Song Yanchi Liu Haifeng Chen Gerard de Melo 152 55 0 18 Dec 2019
MALA: Cross-Domain Dialogue Generation with Action Learning Xinting Huang Jianzhong Qi Yu Sun Rui Zhang LRM 159 18 0 18 Dec 2019
UNAS: Differentiable Architecture Search Meets Reinforcement Learning Arash Vahdat Arun Mallya Ming-Yuan Liu Jan Kautz 85 34 0 16 Dec 2019
Game Design for Eliciting Distinguishable Behavior Fan Yang Liu Leqi Yifan Wu Zachary Chase Lipton Pradeep Ravikumar William W. Cohen Tom Michael Mitchell 19 1 0 12 Dec 2019