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2001.01050
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Discrimination-aware Network Pruning for Deep Model Compression
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
4 January 2020
Jing Liu
Bohan Zhuang
Zhuangwei Zhuang
Yong Guo
Junzhou Huang
Jin-Hui Zhu
Zhuliang Yu
CVBM
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Papers citing
"Discrimination-aware Network Pruning for Deep Model Compression"
48 / 48 papers shown
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Interpretable Recognition of Fused Magnesium Furnace Working Conditions with Deep Convolutional Stochastic Configuration Networks
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Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models
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Weichuan Zhang
316
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Electrostatic Force Regularization for Neural Structured Pruning
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A. Taleb-Ahmed
A. Nakib
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383
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17 Nov 2024
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
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Xiaodong Liu
Hao Cheng
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597
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12 Jul 2024
VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool
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Zhu Liao
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Jose Maria Buades Rubio
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323
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363
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502
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04 Feb 2024
Model Compression Techniques in Biometrics Applications: A Survey
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Pedro C. Neto
Marco Huber
Naser Damer
Ana F. Sequeira
359
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Miguel Lastra
José M. Benítez
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360
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17 Dec 2023
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function
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Gyeongdo Ham
Suin Lee
Donggon Jang
Daeshik Kim
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RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets
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Xiaohan Ding
Qiu Shen
Xun Cao
301
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16 Oct 2023
Dynamic Shuffle: An Efficient Channel Mixture Method
Kaijun Gong
Zhuowen Yin
Yushu Li
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Xiangmin Xu
305
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04 Oct 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Hancheng Ye
Bo Zhang
Tao Chen
Jiayuan Fan
Sijin Yu
179
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270
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Haolin Pan
Jian Chen
390
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Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images
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Bing Xu
Yong Guo
Luo Jiang
Mianjie Yu
Jian Chen
329
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19 Nov 2022
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data
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Matthias Seibold
Indu Joshi
Mazda Farshad
Philipp Fürnstahl
Nassir Navab
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253
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05 Nov 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yihe Lu
Ziyu Guan
Yaming Yang
Maoguo Gong
Ziyu Guan
Kaiyuan Feng
229
8
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13 Aug 2022
Towards Lightweight Super-Resolution with Dual Regression Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yong Guo
Zhuliang Yu
Zeshuai Deng
Jingdong Wang
Qi Chen
Jingyun Liang
Yanwu Xu
Jian Chen
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420
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16 Jul 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
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Arnaud Dapogny
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Kévin Bailly
255
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FlowNAS: Neural Architecture Search for Optical Flow Estimation
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Zhiwei Lin
Tingting Liang
Taihong Xiao
Yongtao Wang
Zhi Tang
Ming-Hsuan Yang
225
4
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04 Jul 2022
Revisiting Random Channel Pruning for Neural Network Compression
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Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
287
111
0
11 May 2022
Compact Neural Networks via Stacking Designed Basic Units
Weichao Lan
Yiu-ming Cheung
Juyong Jiang
171
0
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03 May 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
260
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Practical Network Acceleration with Tiny Sets
Computer Vision and Pattern Recognition (CVPR), 2022
G. Wang
Jianxin Wu
239
16
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16 Feb 2022
Improving Robustness by Enhancing Weak Subnets
European Conference on Computer Vision (ECCV), 2022
Yong Guo
David Stutz
Bernt Schiele
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397
17
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30 Jan 2022
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications
ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
Yongqiang Tian
Wuqi Zhang
Ming Wen
Shing-Chi Cheung
Chengnian Sun
Shiqing Ma
Yu Jiang
316
10
0
06 Dec 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui
Miao Yin
Yi Xie
Huy Phan
S. Zonouz
Bo Yuan
VLM
404
175
0
26 Oct 2021
Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai
Lu Hou
Lifeng Shang
Xin Jiang
Irwin King
Michael R. Lyu
MQ
260
53
0
30 Sep 2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
356
27
0
30 Sep 2021
Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Haotong Qin
Yifu Ding
Xiangguo Zhang
Jinyang Guo
Xianglong Liu
Jiwen Lu
DiffM
MQ
228
106
0
01 Sep 2021
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks
Zhouyang Xie
Yan Fu
Sheng-Zhao Tian
Junlin Zhou
Duanbing Chen
3DV
170
1
0
31 Aug 2021
Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints
Jing Liu
Bohan Zhuang
Zhuliang Yu
Xu Liu
Dinh Q. Phung
Yuanqing Li
Jianfei Cai
225
0
0
03 Aug 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mingbao Lin
Bohong Chen
Jiayi Ji
Rongrong Ji
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291
29
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14 Jul 2021
Content-Aware Convolutional Neural Networks
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Yaofo Chen
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Kui Jia
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346
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Effective Model Compression via Stage-wise Pruning
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Xinyi Yu
Jingtao Rong
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331
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Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
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Junzhou Huang
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249
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Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
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Qi Chen
Jingyun Liang
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Yanwu Xu
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SupR
391
315
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16 Mar 2020
Hierarchical Neural Architecture Search for Single Image Super-Resolution
IEEE Signal Processing Letters (IEEE SPL), 2020
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Yongsheng Luo
Zhenhao He
Jin Huang
Jian Chen
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366
53
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Taxonomy of Saliency Metrics for Channel Pruning
IEEE Access (IEEE Access), 2019
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Andrew Anderson
David Gregg
226
8
0
11 Jun 2019
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