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Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

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Title
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS Masataro Asai 69 4 0 11 Dec 2019
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology Gözde Gül Sahin Iryna Gurevych 43 6 0 11 Dec 2019
Efficient Differentiable Neural Architecture Search with Meta Kernels Shoufa Chen Yunpeng Chen Shuicheng Yan Jiashi Feng 74 19 0 10 Dec 2019
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing Mohammed Amer Tomás Maul 47 6 0 10 Dec 2019
Winning the Lottery with Continuous Sparsification Pedro H. P. Savarese Hugo Silva Michael Maire 100 137 0 10 Dec 2019
Bayesian Structure Adaptation for Continual Learning Abhishek Kumar Sunabha Chatterjee Piyush Rai CLL BDL 64 30 0 08 Dec 2019
Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning U. Tantipongpipat Chris Waites Digvijay Boob Amaresh Ankit Siva Rachel Cummings SyDa 97 31 0 06 Dec 2019
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference Thomas Verelst Tinne Tuytelaars 82 153 0 06 Dec 2019
Sampling-Free Learning of Bayesian Quantized Neural Networks Jiahao Su Milan Cvitkovic Furong Huang BDL MQ UQCV 47 7 0 06 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 171 981 0 04 Dec 2019
Learning with Multiplicative Perturbations Xiulong Yang Shihao Ji AAML 77 4 0 04 Dec 2019
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition Zuxuan Wu Caiming Xiong Yu-Gang Jiang L. Davis 89 110 0 03 Dec 2019
EMAP: Explanation by Minimal Adversarial Perturbation M. Chapman-Rounds Marc-Andre Schulz Erik Pazos K. Georgatzis AAML FAtt 47 6 0 02 Dec 2019
Not All Attention Is Needed: Gated Attention Network for Sequence Data Lanqing Xue Xiaopeng Li N. Zhang 69 32 0 01 Dec 2019
A binary-activation, multi-level weight RNN and training algorithm for ADC-/DAC-free and noise-resilient processing-in-memory inference with eNVM Siming Ma David Brooks Gu-Yeon Wei MQ 31 2 0 30 Nov 2019
Learning Perceptual Inference by Contrasting Chi Zhang Baoxiong Jia Feng Gao Yixin Zhu Hongjing Lu Song-Chun Zhu LRM 84 109 0 29 Nov 2019
Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes Todor Davchev Michael G. Burke S. Ramamoorthy 49 0 0 29 Nov 2019
Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization J. H. Lee Jihun Yun Sung Ju Hwang Eunho Yang MQ 45 0 0 29 Nov 2019
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning Ximeng Sun Yikang Shen Rogerio Feris Kate Saenko 99 269 0 27 Nov 2019
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search Xiangxiang Chu Tianbao Zhou Bo Zhang Jixiang Li 99 312 0 27 Nov 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations Chen Wang Chengyuan Deng Vladimir A. Ivanov GNN DRL 54 6 0 27 Nov 2019
Logical Interpretations of Autoencoders Anton Fuxjaeger Vaishak Belle NAI AI4CE 106 0 0 26 Nov 2019
Semantic Bottleneck Scene Generation S. Azadi Michael Tschannen Eric Tzeng Sylvain Gelly Trevor Darrell Mario Lucic 78 30 0 26 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning T. Elsken B. Staffler J. H. Metzen Frank Hutter 97 139 0 25 Nov 2019
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video Miao Liu Siyu Tang Yin Li James M. Rehg EgoV 95 21 0 25 Nov 2019
Improving VAE generations of multimodal data through data-dependent conditional priors Frantzeska Lavda Magda Gregorova Alexandros Kalousis 31 4 0 25 Nov 2019
Multi-Agent Game Abstraction via Graph Attention Neural Network Y. Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao 80 244 0 25 Nov 2019
Pixel Adaptive Filtering Units Filippos Kokkinos Ioannis Marras Matteo Maggioni Greg Slabaugh Stefanos Zafeiriou 68 3 0 24 Nov 2019
Exploiting Operation Importance for Differentiable Neural Architecture Search Xukai Xie Yuan Zhou S. Kung 76 36 0 24 Nov 2019
Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution Artyom Gadetsky Kirill Struminsky Christopher Robinson Novi Quadrianto Dmitry Vetrov 137 11 0 22 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules Lucas Caccia Eugene Belilovsky Massimo Caccia Joelle Pineau 92 5 0 19 Nov 2019
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 82 208 0 16 Nov 2019
CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation Zhiyue Liu Jiahai Wang Zhiwei Liang GAN 66 67 0 15 Nov 2019
Sparse associative memory based on contextual code learning for disambiguating word senses M. R. S. Marques Tales Marra Deok-Hee Kim-Dufor C. Berrou 58 1 0 14 Nov 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Kumar Misra Mikael Henaff A. Krishnamurthy John Langford 95 151 0 13 Nov 2019
Avoiding hashing and encouraging visual semantics in referential emergent language games Daniela Mihai Jonathon S. Hare 31 5 0 13 Nov 2019
Location Attention for Extrapolation to Longer Sequences Yann Dubois Gautier Dagan Dieuwke Hupkes Elia Bruni 79 44 0 10 Nov 2019
A perspective on multi-agent communication for information fusion Homagni Saha Vijay Venkataraman A. Speranzon Soumik Sarkar 36 2 0 09 Nov 2019
Preservation of Anomalous Subgroups On Machine Learning Transformed Data Samuel C. Maina R. Bryant William O. Goal Robert-Florian Samoilescu Kush R. Varshney Komminist Weldemariam 21 0 0 09 Nov 2019
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages Mirac Suzgun Sebastian Gehrmann Yonatan Belinkov Stuart M. Shieber 69 50 0 08 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 139 417 0 06 Nov 2019
Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game Roberto Dessì Diane Bouchacourt D. Crepaldi Marco Baroni LLMAG 66 6 0 05 Nov 2019
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders Carl Yang Jieyu Zhang Haonan Wang Sha Li M. Kim Matthew Walker Yiou Xiao Jiawei Han 81 43 0 04 Nov 2019
Emergence of Numeric Concepts in Multi-Agent Autonomous Communication Shangmin Guo LLMAG 57 3 0 04 Nov 2019
PODNet: A Neural Network for Discovery of Plannable Options R. Bera Vinicius G. Goecks Gregory M. Gremillion J. Valasek Nicholas R. Waytowich 50 4 0 01 Nov 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions Dieterich Lawson George Tucker Bo Dai Rajesh Ranganath 92 31 0 31 Oct 2019
Learning Disentangled Representations for Recommendation Jianxin Ma Chang Zhou Peng Cui Hongxia Yang Wenwu Zhu CML DRL 94 310 0 31 Oct 2019
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation Duygu Ataman Wilker Aziz Alexandra Birch 95 16 0 30 Oct 2019
Mixture factorized auto-encoder for unsupervised hierarchical deep factorization of speech signal Zhiyuan Peng Siyuan Feng Tan Lee 47 6 0 30 Oct 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric Xing 94 120 0 28 Oct 2019