WoodFisher: Efficient Second-Order Approximation for Neural Network
Compression

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WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

29 April 2020

Sidak Pal Singh

Dan Alistarh

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Papers citing "WoodFisher: Efficient Second-Order Approximation for Neural Network Compression"

18 / 18 papers shown

Title
Is Oracle Pruning the True Oracle? Sicheng Feng Keda Tao Haoyu Wang VLM 220 2 0 28 Nov 2024
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models Yi-Lin Sung Jaehong Yoon Mohit Bansal VLM 127 15 0 04 Oct 2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning Huan Wang Can Qin Yue Bai Yun Fu 153 23 0 12 Jan 2023
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions M. Tukan Loay Mualem Alaa Maalouf 3DPC 123 24 0 18 Sep 2022
Trainability Preserving Neural Pruning Huan Wang Yun Fu AAML 110 20 0 25 Jul 2022
Dual Lottery Ticket Hypothesis Yue Bai Haiquan Wang Zhiqiang Tao Kunpeng Li Yun Fu 97 44 0 08 Mar 2022
Cyclical Pruning for Sparse Neural Networks Suraj Srinivas Andrey Kuzmin Markus Nagel M. V. Baalen Andrii Skliar Tijmen Blankevoort 118 14 0 02 Feb 2022
UWC: Unit-wise Calibration Towards Rapid Network Compression Chen Lin Zheyang Li Bo Peng Haoji Hu Wenming Tan Ye Ren Shiliang Pu MQ 59 1 0 17 Jan 2022
Deep Neural Compression Via Concurrent Pruning and Self-Distillation J. Ó. Neill Sourav Dutta H. Assem VLM 91 5 0 30 Sep 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition Lucas Liebenwein Alaa Maalouf O. Gal Dan Feldman Daniela Rus 119 50 0 23 Jul 2021
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models Alexandra Peste Dan Alistarh Christoph H. Lampert MU 79 35 0 08 Jul 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization Soroosh Shahtalebi Jean-Christophe Gagnon-Audet Touraj Laleh Mojtaba Faramarzi Kartik Ahuja Irina Rish 158 61 0 04 Jun 2021
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning Huan Wang Can Qin Yue Bai Y. Fu 78 5 0 12 May 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy Lucas Liebenwein Cenk Baykal Brandon Carter David K Gifford Daniela Rus AAML 102 76 0 04 Mar 2021
Neural Network Compression for Noisy Storage Devices Berivan Isik Kristy Choi Xin-Yang Zheng Tsachy Weissman Stefano Ermon H. P. Wong Armin Alaghi 106 13 0 15 Feb 2021
Neural Pruning via Growing RegularizationInternational Conference on Learning Representations (ICLR), 2025 Huan Wang Can Qin Yulun Zhang Y. Fu 180 165 0 16 Dec 2020
Learning explanations that are hard to varyInternational Conference on Learning Representations (ICLR), 2025 Giambattista Parascandolo Alexander Neitz Antonio Orvieto Luigi Gresele Bernhard Schölkopf FAtt 155 199 0 01 Sep 2020
Revisiting Loss Modelling for Unstructured Pruning César Laurent Camille Ballas Thomas George Nicolas Ballas Pascal Vincent 96 14 0 22 Jun 2020