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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OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes Tao Xie Kun Dai Si-Tong Lu K. Wang Zhiqiang Jiang Jin Gao Dedong Liu Jinfeng Xu Lijun Zhao Rui Li 109 9 0 23 Aug 2023
UGSL: A Unified Framework for Benchmarking Graph Structure Learning Bahare Fatemi Sami Abu-El-Haija Anton Tsitsulin Seyed Mehran Kazemi Dustin Zelle Neslihan Bulut Jonathan J. Halcrow Bryan Perozzi 108 11 0 21 Aug 2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection Yifan Zhang Zhen Dong Huanrui Yang Ming Lu Cheng-Ching Tseng Yuan Du Kurt Keutzer Li Du Shanghang Zhang MQ 75 9 0 21 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 110 26 0 20 Aug 2023
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks Mingxuan Liu Jie Gan Rui Wen Tao Li Yongli Chen Hong Chen DiffM MQ 119 8 0 20 Aug 2023
Learning Computational Efficient Bots with Costly Features Anthony Kobanda Valliappan C. A. Joshua Romoff Ludovic Denoyer OffRL 50 2 0 18 Aug 2023
ResQ: Residual Quantization for Video Perception Davide Abati H. Yahia Markus Nagel A. Habibian MQ 40 2 0 18 Aug 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 96 3 0 14 Aug 2023
Efficient Neural PDE-Solvers using Quantization Aware Training W.V.S.O. van den Dool Tijmen Blankevoort Max Welling Yuki M. Asano MQ 60 3 0 14 Aug 2023
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training Xiao-Ming Wu Dian Zheng Zuhao Liu Weishi Zheng MQ 118 18 0 13 Aug 2023
Learning nonparametric DAGs with incremental information via high-order HSIC Yafei Wang Jianguo Liu CML 42 0 0 11 Aug 2023
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution Ao Li Le Zhang Yun-Hai Liu Ce Zhu 78 11 0 09 Aug 2023
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning Astrid Vanneste Simon Vanneste Kevin Mets Tom De Schepper Siegfried Mercelis P. Hellinckx 47 0 0 09 Aug 2023
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks Jue Chen Huan Yuan Jianchao Tan Bin Chen Chengru Song Di Zhang 69 4 0 09 Aug 2023
Sparse Binary Transformers for Multivariate Time Series Modeling Matt Gorbett Hossein Shirazi I. Ray AI4TS 88 15 0 09 Aug 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 81 1 0 08 Aug 2023
Lossy and Lossless (L $^2$ ) Post-training Model Size Compression Yumeng Shi Shihao Bai Xiuying Wei Ruihao Gong Jianlei Yang 48 3 0 08 Aug 2023
Developability Approximation for Neural Implicits through Rank Minimization Pratheba Selvaraju 36 1 0 07 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Tengjiao Wang Muhan Zhang J. Leskovec 84 14 0 04 Aug 2023
Tango: rethinking quantization for graph neural network training on GPUs Shiyang Chen Da Zheng Caiwen Ding Chengying Huan Yuede Ji Hang Liu GNN MQ 82 6 0 02 Aug 2023
Towards More Human-like AI Communication: A Review of Emergent Communication Research Nicolo’ Brandizzi 92 16 0 01 Aug 2023
Learning to Model the World with Language Jessy Lin Yuqing Du Olivia Watkins Danijar Hafner Pieter Abbeel Dan Klein Anca Dragan LM&Ro SyDa 133 55 0 31 Jul 2023
DRAW: Defending Camera-shooted RAW against Image Manipulation Xiaoxiao Hu Qichao Ying Zhenxing Qian Sheng Li Xinpeng Zhang AAML 93 7 0 31 Jul 2023
Efficient Learning of Discrete-Continuous Computation Graphs David Friede Mathias Niepert 63 3 0 26 Jul 2023
Learning Disentangled Discrete Representations David Friede Christian Reimers Heiner Stuckenschmidt Mathias Niepert CoGe OCL OOD DRL 81 0 0 26 Jul 2023
Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space Guogang Zhu Xuefeng Liu Shaojie Tang Jianwei Niu Xinghao Wu Jiaxing Shen 114 2 0 26 Jul 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery Yashas Annadani Nick Pawlowski Joel Jennings Stefan Bauer Cheng Zhang Wenbo Gong CML BDL 98 19 0 26 Jul 2023
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks Chee Hong Kyoung Mu Lee SupR MQ 55 1 0 25 Jul 2023
Unbiased Weight Maximization Stephen Chung 26 0 0 25 Jul 2023
Structural Credit Assignment with Coordinated Exploration Stephen Chung 18 0 0 25 Jul 2023
Learned Thresholds Token Merging and Pruning for Vision Transformers Maxim Bonnaerens J. Dambre 104 23 0 20 Jul 2023
Efficient Beam Tree Recursion Jishnu Ray Chowdhury Cornelia Caragea 83 3 0 20 Jul 2023
UPSCALE: Unconstrained Channel Pruning Alvin Wan Hanxiang Hao K. Patnaik Yueyang Xu Omer Hadad David Guera Zhile Ren Qi Shan 77 4 0 17 Jul 2023
A Survey of Techniques for Optimizing Transformer Inference Krishna Teja Chitty-Venkata Sparsh Mittal M. Emani V. Vishwanath Arun Somani 129 75 0 16 Jul 2023
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training Jorn W. T. Peters Marios Fournarakis Markus Nagel M. V. Baalen Tijmen Blankevoort MQ 49 5 0 10 Jul 2023
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data Hieu Le Jián Tao AI4CE 56 2 0 09 Jul 2023
Learning to Group Auxiliary Datasets for Molecule Ting Huang Ziniu Hu Rex Ying 61 0 0 08 Jul 2023
MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers Jakob Drachmann Havtorn Amelie Royer Tijmen Blankevoort B. Bejnordi 83 8 0 05 Jul 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4 Fei Deng Junyeong Park Sungjin Ahn 99 32 0 05 Jul 2023
Deep Cross-Modal Steganography Using Neural Representations Gyojin Han Dong-Jae Lee Jiwan Hur Jaehyun Choi Junmo Kim 33 7 0 02 Jul 2023
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations Vinitra Swamy Jibril Frej Tanja Käser 111 15 0 01 Jul 2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler Shaohui Lin Wenxuan Huang Jiao Xie Baochang Zhang Yunhang Shen Zhou Yu Jungong Han David Doermann 60 2 0 01 Jul 2023
Variational latent discrete representation for time series modelling Max H. Cohen M. Charbit Sylvain Le Corff 125 1 0 27 Jun 2023
Low-Rank Prune-And-Factorize for Language Model Compression Siyu Ren Kenny Q. Zhu 95 9 0 25 Jun 2023
Progressive Fourier Neural Representation for Sequential Video Compilation Haeyong Kang Jaehong Yoon Dahyun Kim Sung Ju Hwang Chang D. Yoo AI4TS 119 2 0 20 Jun 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 80 31 0 16 Jun 2023
Taming Reversible Halftoning via Predictive Luminance Cheuk-Kit Lau Menghan Xia T. Wong 81 1 0 14 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 63 1 0 14 Jun 2023
Binary Radiance Fields S. Shin Jaesik Park AI4CE 104 29 0 13 Jun 2023
Measuring Sentiment Bias in Machine Translation Kai Hartung Aaricia Herygers Shubham Kurlekar Khabbab Zakaria Taylan Volkan Sören Gröttrup Munir Georges AI4CE 70 5 0 12 Jun 2023