v1v2v3v4 (latest)

Bayesian Compression for Deep Learning

24 May 2017

Papers citing "Bayesian Compression for Deep Learning"

50 / 269 papers shown

Title
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior Tsai Hor Chan Dora Yan Zhang Guosheng Yin Lequan Yu UQCV BDL 40 0 0 23 May 2025
Identifying Causal Direction via Variational Bayesian Compression Quang-Duy Tran Bao Duong Phuoc Nguyen Thin Nguyen CML 121 0 0 12 May 2025
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 182 0 0 07 Apr 2025
Hyperflows: Pruning Reveals the Importance of Weights Eugen Barbulescu Antonio Alexoaie 64 0 0 06 Apr 2025
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression Xiaoyi Qu David Aponte Colby R. Banbury Daniel P. Robinson Tianyu Ding K. Koishida Ilya Zharkov Tianyi Chen MQ 112 2 0 23 Feb 2025
Complexity-Aware Training of Deep Neural Networks for Optimal Structure Discovery Valentin Frank Ingmar Guenter Athanasios Sideris CVBM 51 0 0 14 Nov 2024
Efficient Model Compression for Bayesian Neural Networks Diptarka Saha Zihe Liu Feng Liang BDL 54 0 0 01 Nov 2024
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs Yuchen Yang Shubham Ugare Yifan Zhao Gagandeep Singh Sasa Misailovic MQ 95 0 0 31 Oct 2024
Governing equation discovery of a complex system from snapshots Qunxi Zhu Bolin Zhao Jingdong Zhang Peiyang Li Wei Lin 58 1 0 22 Oct 2024
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection Steven Adams A. Patané Morteza Lahijanian Luca Laurenti BDL 90 3 0 26 Jul 2024
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models G. A. Padmanabha J. Fuhg Cosmin Safta Reese E. Jones N. Bouklas 89 5 0 30 Jun 2024
Concurrent Training and Layer Pruning of Deep Neural Networks Valentin Frank Ingmar Guenter Athanasios Sideris 3DPC 98 3 0 06 Jun 2024
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure Minghao Yang Linlin Gao Pengyuan Li Wenbo Li Yihong Dong Zhiying Cui 69 1 0 06 Jun 2024
BMRS: Bayesian Model Reduction for Structured Pruning Dustin Wright Christian Igel Raghavendra Selvan BDL MQ 140 1 0 03 Jun 2024
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 109 3 0 01 Jun 2024
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders Naﬁz Abeer Sanket Jantre Nathan M. Urban Byung-Jun Yoon 93 0 0 31 May 2024
Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally Manon Verbockhaven Sylvain Chevallier Guillaume Charpiat 73 4 0 30 May 2024
Neural Network Compression for Reinforcement Learning Tasks Dmitry A. Ivanov D. Larionov Oleg V. Maslennikov V. Voevodin OffRL AI4CE 93 2 0 13 May 2024
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design A. N. M. N. Abeer Sanket Jantre Nathan M. Urban Byung-Jun Yoon 99 1 0 30 Apr 2024
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder Hasanul Mahmud Kevin Desai P. Lama Sushil Prasad 90 0 0 21 Apr 2024
Bayesian Federated Model Compression for Communication and Computation Efficiency Cheng-Gang Xia Danny H. K. Tsang Vincent K. N. Lau 92 0 0 11 Apr 2024
Training Bayesian Neural Networks with Sparse Subspace Variational Inference Junbo Li Zichen Miao Qiang Qiu Ruqi Zhang BDL UQCV 59 9 0 16 Feb 2024
Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length Nur Lan Emmanuel Chemla Roni Katzir 41 4 0 15 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 148 35 0 01 Feb 2024
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training Max Müller-Eberstein Rob van der Goot Barbara Plank Ivan Titov 129 10 0 25 Oct 2023
Bayesian sparsification for deep neural networks with Bayesian model reduction Dimitrije Marković K. Friston S. Kiebel BDL UQCV 81 2 0 21 Sep 2023
Computation-efficient Deep Learning for Computer Vision: A Survey Yulin Wang Yizeng Han Chaofei Wang Shiji Song Qi Tian Gao Huang VLM 141 21 0 27 Aug 2023
Pruning a neural network using Bayesian inference Sunil Mathew D. Rowe 34 0 0 04 Aug 2023
Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai-Wen Zhao Yi-An Ma Jianye Hao Jinyi Liu Yan Zheng Zhaopeng Meng OffRL OnRL 114 12 0 12 Jun 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Gyuseung Baek Yongdai Kim BDL 86 5 0 24 May 2023
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows Lars Skaaret-Lund G. Storvik A. Hubin BDL UQCV 73 3 0 05 May 2023
Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty A. Hubin G. Storvik BDL UQCV 121 6 0 01 May 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 215 3 0 17 Apr 2023
STen: Productive and Efficient Sparsity in PyTorch Andrei Ivanov Nikoli Dryden Tal Ben-Nun Saleh Ashkboos Torsten Hoefler 71 4 0 15 Apr 2023
Structured Pruning for Multi-Task Deep Neural Networks Siddhant Garg Lijun Zhang Hui Guan 54 1 0 13 Apr 2023
Incorporating Unlabelled Data into Bayesian Neural Networks Mrinank Sharma Tom Rainforth Yee Whye Teh Vincent Fortuin SSL UQCV BDL 98 10 0 04 Apr 2023
OTOV2: Automatic, Generic, User-Friendly Tianyi Chen Luming Liang Tian Ding Zhihui Zhu Ilya Zharkov VLM MQ 113 36 0 13 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 120 146 0 01 Mar 2023
Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI Approach Cheng-Gang Xia Danny H. K. Tsang Vincent K. N. Lau BDL 70 6 0 21 Feb 2023
Towards Optimal Compression: Joint Pruning and Quantization Ben Zandonati Glenn Bucagu Adrian Alan Pol M. Pierini Olya Sirkin Tal Kopetz MQ 97 3 0 15 Feb 2023
SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report] Hamed Ayoobi Nico Potyka Francesca Toni 42 19 0 23 Jan 2023
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? Wenbo Shao Yan Xu Jun Yu Li Chen Lv Weida Wang Hong Wang 88 9 0 11 Jan 2023
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification Lirui Xiao Huanrui Yang Zhen Dong Kurt Keutzer Li Du Shanghang Zhang MQ 78 10 0 06 Dec 2022
Pushing the Efficiency Limit Using Structured Sparse Convolutions Vinay Kumar Verma Nikhil Mehta Shijing Si Ricardo Henao Lawrence Carin 50 3 0 23 Oct 2022
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization Jim Beckers Bart Van Erp Ziyue Zhao K. Kondrashov Bert De Vries AAML 80 6 0 17 Oct 2022
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 141 73 0 03 Oct 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification Xue Li Wei Shen Denis Xavier Charles UQCV EDL 92 3 0 12 Sep 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 80 1 0 17 Jul 2022
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach Vishnu Raj Tianyu Cui Markus Heinonen Pekka Marttinen UQCV BDL 42 1 0 04 Jul 2022
The State of Sparse Training in Deep Reinforcement Learning L. Graesser Utku Evci Erich Elsen Pablo Samuel Castro OffRL 77 40 0 17 Jun 2022