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Fast as CHITA: Neural Network Pruning with Combinatorial Optimization

Fast as CHITA: Neural Network Pruning with Combinatorial Optimization

28 February 2023
Riade Benbaki
Wenyu Chen
X. Meng
Hussein Hazimeh
Natalia Ponomareva
Zhe Zhao
Rahul Mazumder
ArXivPDFHTML

Papers citing "Fast as CHITA: Neural Network Pruning with Combinatorial Optimization"

22 / 22 papers shown
Title
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities
Kalyan Nakka
Jimmy Dani
Ausmit Mondal
Nitesh Saxena
AAML
30
0
0
08 May 2025
An Optimization Framework for Differentially Private Sparse Fine-Tuning
An Optimization Framework for Differentially Private Sparse Fine-Tuning
Mehdi Makni
Kayhan Behdin
Gabriel Afriat
Zheng Xu
Sergei Vassilvitskii
Natalia Ponomareva
Hussein Hazimeh
Rahul Mazumder
51
0
0
17 Mar 2025
Optimal Brain Apoptosis
Optimal Brain Apoptosis
Mingyuan Sun
Zheng Fang
Jiaxu Wang
Junjie Jiang
Delei Kong
Chenming Hu
Yuetong Fang
Renjing Xu
AAML
68
0
0
25 Feb 2025
Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations
Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations
Dhananjay Saikumar
Blesson Varghese
39
0
0
18 Feb 2025
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
Stephen Zhang
V. Papyan
VLM
45
1
0
20 Sep 2024
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by
  Leveraging Second-Order Information
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information
Diyuan Wu
Ionut-Vlad Modoranu
M. Safaryan
Denis Kuznedelev
Dan Alistarh
23
1
0
30 Aug 2024
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Youssouf Emine
Alexandre Forel
Idriss Malek
Thibaut Vidal
37
0
0
28 Aug 2024
Confident magnitude-based neural network pruning
Confident magnitude-based neural network pruning
Joaquin Alvarez
37
0
0
08 Aug 2024
LayerMerge: Neural Network Depth Compression through Layer Pruning and
  Merging
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
Jinuk Kim
Marwa El Halabi
Mingi Ji
Hyun Oh Song
39
0
0
18 Jun 2024
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large
  Language Models
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Xiang Meng
Kayhan Behdin
Haoyue Wang
Rahul Mazumder
37
3
0
12 Jun 2024
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models
Kalyan Nakka
Jimmy Dani
Nitesh Saxena
43
1
0
08 Jun 2024
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
Matteo Farina
Massimiliano Mancini
Elia Cunegatti
Gaowen Liu
Giovanni Iacca
Elisa Ricci
VLM
40
2
0
08 Apr 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
Xiang Meng
Wenyu Chen
Riade Benbaki
Rahul Mazumder
17
3
0
11 Mar 2024
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with
  Combinatorial Optimization
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
Xiang Meng
Shibal Ibrahim
Kayhan Behdin
Hussein Hazimeh
Natalia Ponomareva
Rahul Mazumder
VLM
41
5
0
02 Mar 2024
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
T. Yasuda
Kyriakos Axiotis
Gang Fu
M. Bateni
Vahab Mirrokni
41
0
0
27 Feb 2024
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Lucio Dery
Steven Kolawole
Jean-Francois Kagey
Virginia Smith
Graham Neubig
Ameet Talwalkar
39
28
0
08 Feb 2024
Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for
  Large Language Models
Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models
Michele Mastromattei
Fabio Massimo Zanzotto
VLM
23
1
0
05 Feb 2024
SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
Lei You
Hei Victor Cheng
19
2
0
07 Oct 2023
Scaling Laws for Sparsely-Connected Foundation Models
Scaling Laws for Sparsely-Connected Foundation Models
Elias Frantar
C. Riquelme
N. Houlsby
Dan Alistarh
Utku Evci
18
35
0
15 Sep 2023
A Simple and Effective Pruning Approach for Large Language Models
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun
Zhuang Liu
Anna Bair
J. Zico Kolter
56
355
0
20 Jun 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization
Hussein Hazimeh
Rahul Mazumder
Tim Nonet
13
12
0
10 Feb 2022
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
188
1,027
0
06 Mar 2020
1