Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 1,037 papers shown

Title
Model Inversion Networks for Model-Based Optimization Aviral Kumar Sergey Levine OffRL 33 93 0 31 Dec 2019
Learning Selective Sensor Fusion for States Estimation Changhao Chen Stefano Rosa Chris Xiaoxuan Lu Bing Wang Niki Trigoni Andrew Markham 22 20 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 16 13 0 28 Dec 2019
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax Andres Potapczynski G. Loaiza-Ganem John P. Cunningham 32 29 0 19 Dec 2019
UNAS: Differentiable Architecture Search Meets Reinforcement Learning Arash Vahdat Arun Mallya Ming Liu Jan Kautz 30 33 0 16 Dec 2019
Efficient Differentiable Neural Architecture Search with Meta Kernels Shoufa Chen Yunpeng Chen Shuicheng Yan Jiashi Feng 19 18 0 10 Dec 2019
Plug and Play Language Models: A Simple Approach to Controlled Text Generation Sumanth Dathathri Andrea Madotto Janice Lan Jane Hung Eric Frank Piero Molino J. Yosinski Rosanne Liu KELM 49 938 0 04 Dec 2019
Learning with Multiplicative Perturbations Xiulong Yang Shihao Ji AAML 30 4 0 04 Dec 2019
Semantic Bottleneck Scene Generation S. Azadi Michael Tschannen Eric Tzeng Sylvain Gelly Trevor Darrell Mario Lucic 21 29 0 26 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning T. Elsken B. Staffler J. H. Metzen Frank Hutter 20 136 0 25 Nov 2019
Exploiting Operation Importance for Differentiable Neural Architecture Search Xukai Xie Yuan Zhou S. Kung 17 34 0 24 Nov 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Kumar Misra Mikael Henaff A. Krishnamurthy John Langford 23 151 0 13 Nov 2019
Location Attention for Extrapolation to Longer Sequences Yann Dubois Gautier Dagan Dieuwke Hupkes Elia Bruni 23 40 0 10 Nov 2019
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages Mirac Suzgun Sebastian Gehrmann Yonatan Belinkov Stuart M. Shieber 26 50 0 08 Nov 2019
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation Duygu Ataman Wilker Aziz Alexandra Birch 27 16 0 30 Oct 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric Xing 29 116 0 28 Oct 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 25 379 0 27 Oct 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning Cinjon Resnick Abhinav Gupta Jakob N. Foerster Andrew M. Dai Kyunghyun Cho 31 51 0 24 Oct 2019
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong Bryan Seybold Kevin Patrick Murphy Hung Bui BDL 32 30 0 21 Oct 2019
Deep clustering with concrete k-means Boyan Gao Yongxin Yang Henry Gouk Timothy M. Hospedales 11 16 0 17 Oct 2019
Learning Generalisable Omni-Scale Representations for Person Re-Identification Kaiyang Zhou Yongxin Yang Andrea Cavallaro Tao Xiang 30 217 0 15 Oct 2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations Alexei Baevski Steffen Schneider Michael Auli SSL 11 660 0 12 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours Xuanyi Dong Yezhou Yang 20 646 0 10 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations Jindong Jiang Sepehr Janghorbani Gerard de Melo Sungjin Ahn OCL DRL 37 132 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 29 54 0 04 Oct 2019
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics J. Ackermann Pau Cebrian Antonio Espinosa Masashi Sugiyama OffRL 9 119 0 03 Oct 2019
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models Raheel Qader François Portet Cyril Labbe 44 23 0 29 Sep 2019
Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur Marin Bilos Stephan Günnemann AI4TS 27 167 0 26 Sep 2019
LAVAE: Disentangling Location and Appearance Andrea Dittadi Ole Winther OCL BDL DRL 14 6 0 25 Sep 2019
Data Valuation using Reinforcement Learning Jinsung Yoon Sercan Ö. Arik Tomas Pfister TDI 27 173 0 25 Sep 2019
Particle Smoothing Variational Objectives A. Moretti Zizhao Wang Luhuan Wu Iddo Drori I. Pe’er 24 10 0 20 Sep 2019
Multi-sense Definition Modeling using Word Sense Decompositions Ruimin Zhu Thanapon Noraset Alisa Liu Wenxin Jiang Doug Downey 9 9 0 19 Sep 2019
Scalable Deep Unsupervised Clustering with Concrete GMVAEs Mark Collier Hector Urdiales DRL 31 3 0 18 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 32 59 0 15 Sep 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 98 91 0 08 Sep 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 21 33 0 26 Aug 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels Felix J. S. Bragman Ryutaro Tanno Sebastien Ourselin Daniel C. Alexander M. Jorge Cardoso 24 86 0 26 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 51 412 0 11 Aug 2019
SqueezeNAS: Fast neural architecture search for faster semantic segmentation Albert Eaton Shaw D. Hunter F. Iandola Sammy Sidhu SSeg 29 73 0 05 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 20 1,420 0 02 Aug 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders G. Loaiza-Ganem John P. Cunningham DRL 29 83 0 16 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 32 60 0 11 Jul 2019
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 54 1,206 0 01 Jul 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 30 27 0 26 Jun 2019
Latent Multi-Criteria Ratings for Recommendations Pan Li Alexander Tuzhilin 17 23 0 26 Jun 2019
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks Jielong Yang Wee Peng Tay BDL 14 8 0 25 Jun 2019
Learning Causal State Representations of Partially Observable Environments Amy Zhang Zachary Chase Lipton Luis Villaseñor-Pineda Kamyar Azizzadenesheli Anima Anandkumar Laurent Itti Joelle Pineau Tommaso Furlanello CML 37 49 0 25 Jun 2019
Densely Connected Search Space for More Flexible Neural Architecture Search Jiemin Fang Yuzhu Sun Qian Zhang Yuan Li Wenyu Liu Xinggang Wang 21 122 0 23 Jun 2019
Learning Compressed Sentence Representations for On-Device Text Processing Dinghan Shen Pengyu Cheng Dhanasekar Sundararaman Xinyuan Zhang Qian Yang Meng Tang Asli Celikyilmaz Lawrence Carin 18 22 0 19 Jun 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 38 77 0 19 Jun 2019