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
Differentiable JPEG: The Devil is in the Details Christoph Reich Biplob K. Debnath Deep Patel S. Chakradhar DiffM 26 9 0 13 Sep 2023
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs Wenhua Cheng Weiwei Zhang Haihao Shen Yiyang Cai Xin He Kaokao Lv Yi. Liu MQ 36 22 0 11 Sep 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou Jieyu Zhang Dinesh Manocha 37 15 0 09 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 31 10 0 08 Sep 2023
Dynamic Frame Interpolation in Wavelet Domain Lingtong Kong Boyuan Jiang Donghao Luo Wenqing Chu Ying Tai Chengjie Wang Jie Yang 21 3 0 07 Sep 2023
Bandwidth-efficient Inference for Neural Image Compression Shanzhi Yin Tongda Xu Yongsheng Liang Yuanyuan Wang Yanghao Li Yan Wang Jingjing Liu 32 1 0 06 Sep 2023
A skeletonization algorithm for gradient-based optimization M. Menten Johannes C. Paetzold V. Zimmer Suprosanna Shit Ivan Ezhov Robbie Holland Monika Probst Julia A. Schnabel Daniel Rueckert ODL MedIm 25 18 0 05 Sep 2023
Enhance Multi-domain Sentiment Analysis of Review Texts through Prompting Strategies Yajing Wang Zongwei Luo LRM 19 5 0 05 Sep 2023
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models Xin Zhang Dong Zhang Shimin Li Yaqian Zhou Xipeng Qiu 44 64 0 31 Aug 2023
Unsupervised Text Style Transfer with Deep Generative Models Zhongtao Jiang Yuanzhe Zhang Yiming Ju Kang Liu 32 0 0 31 Aug 2023
ScrollNet: Dynamic Weight Importance for Continual Learning Fei Yang Kai Wang Joost van de Weijer 22 4 0 31 Aug 2023
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation Shuang Wang B. Eravcı Rustam Guliyev Hakan Ferhatosmanoglu GNN MQ 39 6 0 29 Aug 2023
Fast Feedforward Networks Peter Belcak Roger Wattenhofer 14 4 0 28 Aug 2023
Differentiable Weight Masks for Domain Transfer Samarth Khanna Skanda Vaidyanath Akash Velu 34 0 0 26 Aug 2023
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree Quang Hieu Vo Linh-Tam Tran Sung-Ho Bae Lokwon Kim Choong Seon Hong MQ 40 1 0 26 Aug 2023
A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance Ian Colbert Alessandro Pappalardo Jakoba Petri-Koenig MQ 24 9 0 25 Aug 2023
Stochastic Configuration Machines for Industrial Artificial Intelligence Dianhui Wang Matthew J. Felicetti AI4CE 14 9 0 25 Aug 2023
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 55 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 54 10 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 34 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 41 23 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 37 7 0 20 Aug 2023
Learning Computational Efficient Bots with Costly Features Anthony Kobanda Valliappan C. A. Joshua Romoff Ludovic Denoyer OffRL 27 1 0 18 Aug 2023
ResQ: Residual Quantization for Video Perception Davide Abati H. Yahia Markus Nagel A. Habibian MQ 29 2 0 18 Aug 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 37 1 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 38 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 42 17 0 13 Aug 2023
Learning nonparametric DAGs with incremental information via high-order HSIC Yafei Wang Jianguo Liu CML 27 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 33 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 19 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 30 3 0 09 Aug 2023
Sparse Binary Transformers for Multivariate Time Series Modeling Matt Gorbett Hossein Shirazi I. Ray AI4TS 34 13 0 09 Aug 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 14 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 16 3 0 08 Aug 2023
Developability Approximation for Neural Implicits through Rank Minimization Pratheba Selvaraju 25 0 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 42 13 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 36 5 0 02 Aug 2023
Towards More Human-like AI Communication: A Review of Emergent Communication Research Nicolo’ Brandizzi 47 13 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 44 51 0 31 Jul 2023
DRAW: Defending Camera-shooted RAW against Image Manipulation Xiaoxiao Hu Qichao Ying Zhenxing Qian Sheng Li Xinpeng Zhang AAML 44 7 0 31 Jul 2023
Efficient Learning of Discrete-Continuous Computation Graphs David Friede Mathias Niepert 15 3 0 26 Jul 2023
Learning Disentangled Discrete Representations David Friede Christian Reimers Heiner Stuckenschmidt Mathias Niepert CoGe OCL OOD DRL 26 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 35 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 21 17 0 26 Jul 2023
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks Chee Hong Kyoung Mu Lee SupR MQ 27 1 0 25 Jul 2023
Unbiased Weight Maximization Stephen Chung 14 0 0 25 Jul 2023
Structural Credit Assignment with Coordinated Exploration Stephen Chung 11 0 0 25 Jul 2023
Learned Thresholds Token Merging and Pruning for Vision Transformers Maxim Bonnaerens J. Dambre 30 22 0 20 Jul 2023
Efficient Beam Tree Recursion Jishnu Ray Chowdhury Cornelia Caragea 32 3 0 20 Jul 2023
Quantized Feature Distillation for Network Quantization Kevin Zhu Yin He Jianxin Wu MQ 29 9 0 20 Jul 2023