Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

15 August 2013

Aaron Courville

Papers citing "Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation"

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Title
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Location Attention for Extrapolation to Longer Sequences Yann Dubois Gautier Dagan Dieuwke Hupkes Elia Bruni 23 41 0 10 Nov 2019
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks Zhen Dong Z. Yao Yaohui Cai Daiyaan Arfeen A. Gholami Michael W. Mahoney Kurt Keutzer MQ 48 275 0 10 Nov 2019
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels Yihan Jiang Hyeji Kim Himanshu Asnani Sreeram Kannan Sewoong Oh Pramod Viswanath 35 134 0 08 Nov 2019
Emergence of Numeric Concepts in Multi-Agent Autonomous Communication Shangmin Guo LLMAG 18 3 0 04 Nov 2019
A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances Wenjie Lu Dikai Liu 19 0 0 01 Nov 2019
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation Duygu Ataman Wilker Aziz Alexandra Birch 29 16 0 30 Oct 2019
A Game Theoretic Approach to Class-wise Selective Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 22 60 0 28 Oct 2019
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning Alexander H. Liu Tao Tu Hung-yi Lee Lin-Shan Lee SSL 37 50 0 28 Oct 2019
Inherent Weight Normalization in Stochastic Neural Networks Georgios Detorakis S. Dutta A. Khanna M. Jerry S. Datta Emre Neftci OOD 19 6 0 27 Oct 2019
A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver Hoon Lee Tony Q.S. Quek Sang Hyun Lee 25 18 0 26 Oct 2019
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 83 117 0 18 Oct 2019
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks Benjamin Cramer Yannik Stradmann Johannes Schemmel Friedemann Zenke 19 206 0 16 Oct 2019
Q8BERT: Quantized 8Bit BERT Ofir Zafrir Guy Boudoukh Peter Izsak Moshe Wasserblat MQ 9 500 0 14 Oct 2019
Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions Florian Meier Asier Mujika M. Gauy Angelika Steger 15 16 0 11 Oct 2019
Differentiable Sparsification for Deep Neural Networks Yognjin Lee 22 7 0 08 Oct 2019
Straight-Through Estimator as Projected Wasserstein Gradient Flow Pengyu Cheng YooJung Choi Yitao Liang Dinghan Shen Ricardo Henao Guy Van den Broeck 26 14 0 05 Oct 2019
Variational Temporal Abstraction Taesup Kim Sungjin Ahn Yoshua Bengio DRL 28 65 0 02 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 47 23 0 29 Sep 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 31 255 0 28 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 29 18 0 27 Sep 2019
LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling Jinsung Yoon Sercan O. Arik Tomas Pfister FAtt 30 2 0 26 Sep 2019
Balanced Binary Neural Networks with Gated Residual Mingzhu Shen Xianglong Liu Ruihao Gong Kai Han MQ 25 33 0 26 Sep 2019
CAT: Compression-Aware Training for bandwidth reduction Chaim Baskin Brian Chmiel Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 22 10 0 25 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 27 54 0 25 Sep 2019
Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations Yifan Xue Michael Q. Ding Xinghua Lu DRL SSL 13 3 0 24 Sep 2019
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 133 324 0 24 Sep 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 27 17 0 22 Sep 2019
Learning Sparse Mixture of Experts for Visual Question Answering Vardaan Pahuja Jie Fu C. Pal 23 2 0 19 Sep 2019
Searching for Accurate Binary Neural Architectures Mingzhu Shen Kai Han Chunjing Xu Yunhe Wang MQ 24 64 0 16 Sep 2019
Neural Machine Translation with 4-Bit Precision and Beyond Alham Fikri Aji Kenneth Heafield MQ 10 7 0 13 Sep 2019
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers Yukuan Yang Shuang Wu Lei Deng Tianyi Yan Yuan Xie Guoqi Li MQ 99 111 0 05 Sep 2019
Population-based Gradient Descent Weight Learning for Graph Coloring Problems Olivier Goudet B. Duval Jin-Kao Hao 19 1 0 05 Sep 2019
Document Hashing with Mixture-Prior Generative Models Wei Dong Qinliang Su Dinghan Shen Changyou Chen 28 14 0 29 Aug 2019
Image Captioning with Sparse Recurrent Neural Network J. Tan Chee Seng Chan Joon Huang Chuah VLM 29 6 0 28 Aug 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
Differentiable Product Quantization for End-to-End Embedding Compression Ting Chen Lala Li Yizhou Sun MQ 12 66 0 26 Aug 2019
Embarrassingly Simple Binary Representation Learning Yuming Shen Jie Qin Jiaxin Chen Li Liu Fan Zhu 18 21 0 26 Aug 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 19 57 0 25 Aug 2019
Efficient Deep Neural Networks Bichen Wu 28 12 0 20 Aug 2019
Video Compression With Rate-Distortion Autoencoders A. Habibian T. V. Rozendaal Jakub M. Tomczak Taco S. Cohen VGen 32 197 0 14 Aug 2019
Mastering emergent language: learning to guide in simulated navigation Mathijs Mul Diane Bouchacourt Elia Bruni LLMAG 27 9 0 14 Aug 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 32 447 0 14 Aug 2019
Neural Plasticity Networks Yongqian Li Shihao Ji 20 1 0 13 Aug 2019
Playing log(N)-Questions over Sentences P. Potash Kaheer Suleman 11 2 0 13 Aug 2019
Learn to Compress CSI and Allocate Resources in Vehicular Networks Liang Wang Hao Ye Le Liang Geoffrey Ye Li 20 39 0 12 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Full-Stack Filters to Build Minimum Viable CNNs Kai Han Yunhe Wang Yixing Xu Chunjing Xu Dacheng Tao Chang Xu MQ 23 3 0 06 Aug 2019
Learn to Allocate Resources in Vehicular Networks Liang Wang Hao Ye Le Liang Geoffrey Ye Li 18 0 0 30 Jul 2019
Cooperative image captioning Gilad Vered Gal Oren Yuval Atzmon Gal Chechik 31 2 0 26 Jul 2019