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Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition

Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition

9 February 2025
Tian-Shuang Wu
Shen-Huan Lyu
Ning Chen
Zhihao Qu
Baoliu Ye
    OODD
ArXiv (abs)PDFHTML

Papers citing "Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition"

13 / 13 papers shown
Title
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing
  Long-tailed datasets
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
Hongxin Wei
Lue Tao
Renchunzi Xie
Lei Feng
Bo An
OODD
64
39
0
17 Jun 2022
Practical Network Acceleration with Tiny Sets
Practical Network Acceleration with Tiny Sets
G. Wang
Jianxin Wu
92
11
0
16 Feb 2022
Compressing Models with Few Samples: Mimicking then Replacing
Compressing Models with Few Samples: Mimicking then Replacing
Huanyu Wang
Junjie Liu
Xin Ma
Yang Yong
Z. Chai
Jianxin Wu
VLMOffRL
61
14
0
07 Jan 2022
Few-Shot Learning with Class Imbalance
Few-Shot Learning with Class Imbalance
Mateusz Ochal
Massimiliano Patacchiola
Amos Storkey
Jose Vazquez
Sen Wang
109
37
0
07 Jan 2021
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
309
804
0
05 Dec 2019
Few Shot Network Compression via Cross Distillation
Few Shot Network Compression via Cross Distillation
Haoli Bai
Jiaxiang Wu
Irwin King
Michael Lyu
FedML
86
60
0
21 Nov 2019
Data-Free Quantization Through Weight Equalization and Bias Correction
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel
M. V. Baalen
Tijmen Blankevoort
Max Welling
MQ
77
515
0
11 Jun 2019
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
224
2,534
0
19 Jul 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain
  Surgeon
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Luna Dong
Shangyu Chen
Sinno Jialin Pan
195
507
0
22 May 2017
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
204
3,707
0
31 Aug 2016
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,784
0
09 Mar 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
340
3,910
0
19 Dec 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
390
25,799
0
09 Jun 2011
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