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
Training Quantized Neural Networks with a Full-precision Auxiliary Module Bohan Zhuang Lingqiao Liu Mingkui Tan Chunhua Shen Ian Reid MQ 102 62 0 27 Mar 2019
Disentangled Representation Learning in Cardiac Image Analysis A. Chartsias T. Joyce G. Papanastasiou M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 140 128 0 22 Mar 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover Eric Wang Aaron Zweig Stefano Ermon 101 174 0 21 Mar 2019
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks Sambhav R. Jain Albert Gural Michael Wu Chris Dick MQ 116 152 0 19 Mar 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 95 46 0 18 Mar 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda G. Srinivasan Kaushik Roy 117 399 0 15 Mar 2019
Consistent Dialogue Generation with Self-supervised Feature Learning Yizhe Zhang Xiang Gao Sungjin Lee Chris Brockett Michel Galley Jianfeng Gao W. Dolan 120 28 0 13 Mar 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin J. Lyu Shuai Zhang Stanley Osher Y. Qi Jack Xin MQ LLMSV 154 320 0 13 Mar 2019
Progressive Generative Adversarial Binary Networks for Music Generation Manan Oza H. Vaghela Kriti Srivastava AI4CE GAN 48 6 0 12 Mar 2019
Learning low-precision neural networks without Straight-Through Estimator(STE) Z. G. Liu Matthew Mattina MQ 71 35 0 04 Mar 2019
Learning To Follow Directions in Street View Karl Moritz Hermann Mateusz Malinowski Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson R. Hadsell SSL 79 69 0 01 Mar 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 83 813 0 21 Feb 2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch G. Ding Luyu Wang Xiaomeng Jin 79 183 0 20 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 88 366 0 18 Feb 2019
Binary Stochastic Filtering: a Method for Neural Network Size Minimization and Supervised Feature Selection Andrii Trelin A. Procházka MQ 29 1 0 12 Feb 2019
Multitask Learning for Polyphonic Piano Transcription, a Case Study Rainer Kelz Sebastian Böck Gerhard Widmer 149 9 0 12 Feb 2019
Deep Hashing using Entropy Regularised Product Quantisation Network Jo Schlemper Jose Caballero Andrew P. Aitken Joost R. van Amersfoort 111 1 0 11 Feb 2019
Binarized Knowledge Graph Embeddings Koki Kishimoto Katsuhiko Hayashi Genki Akai Masashi Shimbo Kazunori Komatani MQ 36 11 0 08 Feb 2019
Self-Binarizing Networks Fayez Lahoud R. Achanta Pablo Márquez-Neila Sabine Süsstrunk MQ 72 23 0 02 Feb 2019
Hierarchical Photo-Scene Encoder for Album Storytelling Bairui Wang Lin Ma Wei Zhang Wenhao Jiang Feng-Li Zhang 67 28 0 02 Feb 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 145 1,258 0 28 Jan 2019
Unsupervised speech representation learning using WaveNet autoencoders J. Chorowski Ron J. Weiss Samy Bengio Aaron van den Oord SSL 81 319 0 25 Jan 2019
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering Binghui Chen Weihong Deng 81 30 0 22 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 48 68 0 07 Jan 2019
Credit Assignment Techniques in Stochastic Computation Graphs T. Weber N. Heess Lars Buesing David Silver 103 45 0 07 Jan 2019
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm Charbel Sakr Naresh R Shanbhag MQ 84 43 0 31 Dec 2018
Generating Diverse and Meaningful Captions Annika Lindh R. Ross Abhijit Mahalunkar Giancarlo D. Salton John D. Kelleher VLM 43 10 0 19 Dec 2018
Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II) A. Goncharenko Andrey Denisov S. Alyamkin Evgeny Terentev MQ 56 20 0 19 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 95 447 0 12 Dec 2018
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network Yinghao Xu Xin Dong Yudian Li Hao Su 63 28 0 11 Dec 2018
Channel selection using Gumbel Softmax Charles Herrmann Richard Strong Bowen Ramin Zabih 56 3 0 11 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 126 232 0 03 Dec 2018
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search Bichen Wu Yanghan Wang Peizhao Zhang Yuandong Tian Peter Vajda Kurt Keutzer MQ 78 274 0 30 Nov 2018
Learning Finite State Representations of Recurrent Policy Networks Anurag Koul S. Greydanus Alan Fern 68 88 0 29 Nov 2018
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs Zhourong Chen Yang Li Samy Bengio Si Si 105 99 0 27 Nov 2018
Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking Andrii Maksai Pascal Fua VOT 125 17 0 27 Nov 2018
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 90 154 0 22 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 114 455 0 21 Nov 2018
Modular Networks: Learning to Decompose Neural Computation Louis Kirsch Julius Kunze David Barber 83 112 0 13 Nov 2018
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation Xing Niu Weijia Xu Marine Carpuat 97 17 0 02 Nov 2018
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs Ahmad Al Badawi Jin Chao Jie Lin Chan Fook Mun Sim Jun Jie B. Tan Xiao Nan Khin Mi Mi Aung V. Chandrasekhar 88 64 0 02 Nov 2018
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization Anish Acharya Rahul Goel A. Metallinou Inderjit Dhillon 102 62 0 01 Nov 2018
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator Andros Tjandra S. Sakti Satoshi Nakamura 71 44 0 31 Oct 2018
Improved Network Robustness with Adversary Critic Alexander Matyasko Lap-Pui Chau AAML 55 14 0 30 Oct 2018
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication William M. Severa C. Vineyard Ryan Dellana Stephen J Verzi J. Aimone 77 96 0 26 Oct 2018
Piano Genie Chris Donahue Ian Simon Sander Dieleman 80 44 0 11 Oct 2018
Rao-Blackwellized Stochastic Gradients for Discrete Distributions Runjing Liu Jeffrey Regier Nilesh Tripuraneni Michael I. Jordan Jon D. McAuliffe 92 32 0 10 Oct 2018
Feature Selection using Stochastic Gates Yutaro Yamada Ofir Lindenbaum S. Negahban Y. Kluger 178 42 0 09 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 103 132 0 03 Oct 2018
2018 Low-Power Image Recognition Challenge S. Alyamkin M. Ardi Achille Brighton Alexander C. Berg Yiran Chen ... George K. Thiruvathukal Baiwu Zhang Jingchi Zhang Xiaopeng Zhang Shaojie Zhuo BDL 53 13 0 03 Oct 2018