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DECORE: Deep Compression with Reinforcement Learning
v1v2 (latest)

DECORE: Deep Compression with Reinforcement Learning

Computer Vision and Pattern Recognition (CVPR), 2021
11 June 2021
Manoj Alwani
Yang Wang
Vashisht Madhavan
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "DECORE: Deep Compression with Reinforcement Learning"

26 / 26 papers shown
Title
FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
Xin Yuan
S. Li
Jiateng Wei
Chengrui Zhu
Yanming Wu
Qingpeng Li
Jiajun Lv
Xiaoke Lan
Jun Chen
Yong-Jin Liu
OffRL
344
0
0
24 Nov 2025
LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation
LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation
Maxim Henry
Adrien Deliège
A. Cioppa
Marc Van Droogenbroeck
VLM
153
0
0
29 Jul 2025
Pruning Everything, Everywhere, All at Once
Gustavo Henrique do Nascimento
Ian Pons
A. H. R. Costa
Artur Jordao
201
1
0
04 Jun 2025
Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch
Sketch Down the FLOPs: Towards Efficient Networks for Human SketchComputer Vision and Pattern Recognition (CVPR), 2025
Aneeshan Sain
Subhajit Maity
Pinaki Nath Chowdhury
Subhadeep Koley
A. Bhunia
Yi-Zhe Song
3DH
228
0
0
29 May 2025
Automatic Complementary Separation Pruning Toward Lightweight CNNs
Automatic Complementary Separation Pruning Toward Lightweight CNNs
David Levin
Gonen Singer
206
0
0
19 May 2025
Action Tokenizer Matters in In-Context Imitation Learning
Action Tokenizer Matters in In-Context Imitation Learning
An Vuong
M. Vu
Dong An
Ian Reid
382
3
0
03 Mar 2025
Hardware-Aware DNN Compression for Homogeneous Edge Devices
Hardware-Aware DNN Compression for Homogeneous Edge Devices
Kunlong Zhang
Guiying Li
Ning Lu
Peng Yang
Shengcai Liu
221
1
0
25 Jan 2025
OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks
  with Reinforcement Fine-Tuning
OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning
Yuxiang Zhang
Yuqi Yang
Jiangming Shu
Yuhang Wang
Jinlin Xiao
Jitao Sang
ALMVLMOffRLLRM
220
11
0
22 Dec 2024
Layer Pruning with Consensus: A Triple-Win Solution
Layer Pruning with Consensus: A Triple-Win SolutionIEEE Access (IEEE Access), 2024
Leandro Giusti Mugnaini
Carolina Tavares Duarte
Anna Helena Reali Costa
Artur Jordao
266
1
0
21 Nov 2024
An Effective Information Theoretic Framework for Channel Pruning
An Effective Information Theoretic Framework for Channel Pruning
Yihao Chen
Zefang Wang
189
10
0
14 Aug 2024
Effective Layer Pruning Through Similarity Metric Perspective
Effective Layer Pruning Through Similarity Metric Perspective
Ian Pons
Bruno Yamamoto
Anna Helena Reali Costa
Artur Jordao
251
4
0
27 May 2024
Reduced storage direct tensor ring decomposition for convolutional
  neural networks compression
Reduced storage direct tensor ring decomposition for convolutional neural networks compressionNeural Networks (NN), 2024
Mateusz Gabor
R. Zdunek
345
0
0
17 May 2024
Structure-Preserving Network Compression Via Low-Rank Induced Training
  Through Linear Layers Composition
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition
Xitong Zhang
Ismail Alkhouri
Rongrong Wang
238
1
0
06 May 2024
AutoDFP: Automatic Data-Free Pruning via Channel Similarity
  Reconstruction
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction
Siqi Li
Jun Chen
Jingyang Xiang
Chengrui Zhu
Yong-Jin Liu
184
2
0
13 Mar 2024
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from
  Scratch
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch
P. Zhai
K. Guo
Fan Liu
Xiaofen Xing
Xiangmin Xu
244
3
0
25 Sep 2023
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
Hugo Tessier
Ghouti Boukli Hacene
Vincent Gripon
158
1
0
22 Sep 2023
A Differentiable Framework for End-to-End Learning of Hybrid Structured
  Compression
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression
Moonjung Eo
Suhyun Kang
Wonjong Rhee
205
2
0
21 Sep 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyMLACM Transactions on Evolutionary Learning and Optimization (TELO), 2023
M. Deutel
G. Kontes
Christopher Mutschler
Jürgen Teich
458
3
0
23 May 2023
Semantic Compression With Large Language Models
Semantic Compression With Large Language ModelsInternational Conference on Social Networks Analysis, Management and Security (SNAMS), 2023
Henry Gilbert
Michael Sandborn
Douglas C. Schmidt
Jesse Spencer-Smith
Jules White
192
28
0
25 Apr 2023
Continual Semantic Segmentation with Automatic Memory Sample Selection
Continual Semantic Segmentation with Automatic Memory Sample SelectionComputer Vision and Pattern Recognition (CVPR), 2023
Lanyun Zhu
Tianrun Chen
Jianxiong Yin
Simon See
Jing Liu
CLLVLM
162
66
0
11 Apr 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Structured Pruning for Deep Convolutional Neural Networks: A surveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang He
Lingao Xiao
3DPC
336
248
0
01 Mar 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural
  Networks
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023
Jinqi Xiao
Chengming Zhang
Yu Gong
Miao Yin
Yang Sui
Lizhi Xiang
Dingwen Tao
Bo Yuan
262
27
0
20 Jan 2023
Survey on Evolutionary Deep Learning: Principles, Algorithms,
  Applications and Open Issues
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open IssuesACM Computing Surveys (ACM CSUR), 2022
Nan Li
Lianbo Ma
Guo-Ding Yu
Bing Xue
Mengjie Zhang
Yaochu Jin
165
97
0
23 Aug 2022
Boosting Zero-shot Learning via Contrastive Optimization of Attribute
  Representations
Boosting Zero-shot Learning via Contrastive Optimization of Attribute RepresentationsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yu Du
Miaojing Shi
Fangyun Wei
Guoqi Li
VLM
337
19
0
08 Jul 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Compact Model Training by Low-Rank Projection with Energy TransferIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
197
5
0
12 Apr 2022
An Information Theory-inspired Strategy for Automatic Network Pruning
An Information Theory-inspired Strategy for Automatic Network Pruning
Xiawu Zheng
Yuexiao Ma
Teng Xi
Gang Zhang
Errui Ding
Yuchao Li
Jie Chen
Yonghong Tian
Rongrong Ji
537
17
0
19 Aug 2021
1