v1v2v3 (latest)

Variational Dropout Sparsifies Deep Neural Networks

International Conference on Machine Learning (ICML), 2017

19 January 2017

Dmitry Vetrov

Papers citing "Variational Dropout Sparsifies Deep Neural Networks"

50 / 481 papers shown

Title
Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical Oracles Yizhou Zhang Lun Du 96 0 0 02 Dec 2025
Cross Modal Fine-Grained Alignment via Granularity-Aware and Region-Uncertain Modeling Jiale Liu Haoming Zhou Yishu Zhu Bingzhi Chen Yuncheng Jiang 145 0 0 11 Nov 2025
Kernelized Sparse Fine-Tuning with Bi-level Parameter Competition for Vision Models Shufan Shen Junshu Sun Shuhui Wang Qingming Huang 120 0 0 28 Oct 2025
Federated Learning via Meta-Variational DropoutNeural Information Processing Systems (NeurIPS), 2025 Insu Jeon Minui Hong Junhyeog Yun Gunhee Kim FedML 231 10 0 23 Oct 2025
Neural Variational Dropout ProcessesInternational Conference on Learning Representations (ICLR), 2025 Insu Jeon Youngjin Park Gunhee Kim BDL UQCV 279 3 0 22 Oct 2025
Efficient Dynamic Structured Sparse Training with Learned Shuffles Abhishek Tyagi Arjun Iyer Liam Young William H Renninger Christopher Kanan Yuhao Zhu 83 0 0 16 Oct 2025
Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning Minsik Choi Hyegang Son Changhoon Kim Young Geun Kim AAML 88 0 0 10 Oct 2025
Progressive Weight Loading: Accelerating Initial Inference and Gradually Boosting Performance on Resource-Constrained Environments Hyunwoo Kim Junha Lee M. Choi J. Lee Jaeshin Cho VLM 106 0 0 26 Sep 2025
Self Identity MappingNeural Networks (NN), 2025 Xiuding Cai Yaoyao Zhu Linjie Fu Dong Miao Yu Yao 172 0 0 17 Sep 2025
Dynamic Sensitivity Filter Pruning using Multi-Agent Reinforcement Learning For DCNN's Iftekhar Haider Chowdhury Zaed Ikbal Syed Ahmed Faizul Haque Dhrubo Mohammad Abdul Qayum 82 0 0 05 Sep 2025
Discovering Semantic Subdimensions through Disentangled Conceptual Representations Yunhao Zhang Shaonan Wang Nan Lin Xinyi Dong Chong Li Chengqing Zong 109 2 0 29 Aug 2025
Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural OperatorsComputer Methods in Applied Mechanics and Engineering (CMAME), 2025 Ponkrshnan Thiagarajan Tamer A. Zaki Michael D. Shields BDL 216 1 0 19 Jul 2025
Low-rank variational dropout: Uncertainty and rank selection in adapters Cooper Doyle UQCV BDL 140 0 0 28 Jun 2025
Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum Caleb Zheng Eli Shlizerman 142 0 0 09 Jun 2025
Kinetics: Rethinking Test-Time Scaling Laws Ranajoy Sadhukhan Zhuoming Chen Haizhong Zheng Yang Zhou Emma Strubell Beidi Chen 425 6 0 05 Jun 2025
Binarized Neural Networks Converge Toward Algorithmic Simplicity: Empirical Support for the Learning-as-Compression Hypothesis Eduardo Y. Sakabe Felipe S. Abrahão A. S. Simões Esther L. Colombini P. Costa Ricardo Ribeiro Gudwin Hector Zenil 302 0 0 27 May 2025
$Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks$ Global Minimizers of $\ell^p$ -Regularized Objectives Yield the Sparsest ReLU Neural Networks Julia B. Nakhleh Robert D. Nowak 247 0 0 27 May 2025
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 PriorIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Tsai Hor Chan Dora Yan Zhang Guosheng Yin Lequan Yu UQCV BDL 133 0 0 23 May 2025
Task-Oriented Communications for Visual Navigation with Edge-Aerial Collaboration in Low Altitude Economy Zhengru Fang Zhenghao Liu Jingjing Wang Senkang Hu Yu Guo Yiqin Deng Yuguang Fang 183 4 0 25 Apr 2025
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 348 0 0 07 Apr 2025
MDP: Multidimensional Vision Model Pruning with Latency ConstraintComputer Vision and Pattern Recognition (CVPR), 2025 Xinglong Sun Barath Lakshmanan Maying Shen Shiyi Lan Jingde Chen Jose M. Alvarez VLM 298 1 0 02 Apr 2025
Eau De $Q$ -Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning Théo Vincent Tim Lukas Faust Yogesh Tripathi Jan Peters Carlo DÉramo 236 0 0 03 Mar 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 377 1 0 13 Feb 2025
Advancing Weight and Channel Sparsification with Enhanced SaliencyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025 Xinglong Sun Maying Shen Hongxu Yin Lei Mao Pavlo Molchanov Jose M. Alvarez 170 1 0 05 Feb 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification TasksNeural Networks (NN), 2024 Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 562 22 0 28 Jan 2025
Holistic Adversarially Robust PruningInternational Conference on Learning Representations (ICLR), 2024 Qi Zhao Christian Wressnegger 213 13 0 19 Dec 2024
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning Qingsong Lv Jiasheng Sun Sheng Zhou Wei Wei Liangcheng Li Yun Gao Sun Qiao Jie Song Jiajun Bu AAML 222 1 0 19 Nov 2024
Complexity-Aware Training of Deep Neural Networks for Optimal Structure Discovery Valentin Frank Ingmar Guenter Athanasios Sideris CVBM 253 1 0 14 Nov 2024
Expanding Sparse Tuning for Low Memory UsageNeural Information Processing Systems (NeurIPS), 2024 Shufan Shen Junshu Sun Xiangyang Ji Qingming Huang Shuhui Wang 305 9 0 04 Nov 2024
Efficient Model Compression for Bayesian Neural Networks Diptarka Saha Zihe Liu Feng Liang BDL 177 0 0 01 Nov 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 204 1 0 18 Oct 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse TrainingNeural Information Processing Systems (NeurIPS), 2024 Pihe Hu Shaolong Li Zhuoran Li L. Pan Longbo Huang 154 1 0 28 Sep 2024
AdapMTL: Adaptive Pruning Framework for Multitask Learning ModelACM Multimedia (MM), 2024 Mingcan Xiang Steven Jiaxun Tang Qizheng Yang Hui Guan Tongping Liu VLM 209 3 0 07 Aug 2024
Gaussian Mixture based Evidential Learning for Stereo Matching Weide Liu Xingxing Wang Lu Wang Jun Cheng Fayao Liu Xulei Yang 212 0 0 05 Aug 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models Heng Lu Mehdi Alemi Reza Rawassizadeh 200 4 0 05 Jul 2024
SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation Zhanteng Xie P. Dames 464 3 0 28 Jun 2024
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint Xinglong Sun Barath Lakshmanan Maying Shen Shiyi Lan Jingde Chen Jose Alvarez VLM 254 4 0 17 Jun 2024
Geometric sparsification in recurrent neural networks Wyatt Mackey Ioannis Schizas Jared Deighton David L. Boothe, Jr. Vasileios Maroulas 159 0 0 10 Jun 2024
Concurrent Training and Layer Pruning of Deep Neural Networks Valentin Frank Ingmar Guenter Athanasios Sideris 3DPC 195 5 0 06 Jun 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and ForgetfulnessAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Guangliang Liu Milad Afshari Xitong Zhang Zhiyu Xue Avrajit Ghosh Bidhan Bashyal Rongrong Wang K. Johnson 157 2 0 06 Jun 2024
Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications Roy Y. He Haixia Liu Hao Liu 180 6 0 01 Jun 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 179 2 0 24 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in ClassificationInternational Conference on Learning Representations (ICLR), 2024 Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 263 6 0 23 May 2024
Neural Network Compression for Reinforcement Learning TasksScientific Reports (Sci Rep), 2024 Dmitry A. Ivanov D. Larionov Oleg V. Maslennikov V. Voevodin OffRL AI4CE 225 7 0 13 May 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in MinutesAAAI Conference on Artificial Intelligence (AAAI), 2024 Yazhe Niu Yang Yong Zining Wang Jinyang Guo Xiuying Wei Yuqing Ma Xianglong Liu 173 7 0 09 May 2024
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuningInternational Conference on Machine Learning (ICML), 2024 Jing Xu Jingzhao Zhang 210 10 0 04 May 2024
The Landscape of Unfolding with Machine Learning Nathan Huetsch Javier Marino Villadamigo Alexander Shmakov Yuan-Tang Chou Vinicius Mikuni ... Kevin Greif Benjamin Nachman D. Whiteson A. Butter Tilman Plehn 325 26 0 29 Apr 2024
Learning a Sparse Neural Network using IHT S. Damadi Soroush Zolfaghari Mahdi Rezaie Jinglai Shen 187 2 0 29 Apr 2024
Singular-limit analysis of gradient descent with noise injection Anna Shalova André Schlichting M. Peletier 174 5 0 18 Apr 2024
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies N. Botteghi Urban Fasel AI4CE 249 7 0 22 Mar 2024