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IEEE Transactions on Pattern Analysis and Machine Intelligence
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August 21, 2024
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 18, 2024
Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining
Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi
Nano Letters
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October 27, 2023
Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning
Xinyu Li, Javen Qinfeng Shi, Alister J Page
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
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May 15, 2023
SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring
Qingsen Yan, Dong Gong, Pei Wang, et al.
Nature Nanotechnology
|
June 1, 2026
Hydrophobic liquid electrolyte interphases for efficient aqueous zinc batteries
Guanjie Li, Shilin Zhang, Jodie A Yuwono, et al.
Journal of the American Chemical Society
|
August 3, 2024
Machine Learning Big Data Set Analysis Reveals C-C Electro-Coupling Mechanism
Haobo Li, Xinyu Li, Pengtang Wang, et al.
ACS Nano
|
April 30, 2025
Active Learning-Based Prediction of Drug Combination Efficacy
Song Jin, Xinyu Li, Guangze Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
May 29, 2023
Human Interaction Understanding With Consistency-Aware Learning
Jiajun Meng, Zhenhua Wang, Kaining Ying, et al.
The Journal of Physical Chemistry Letters
|
December 4, 2023
Machine Learning Confirms the Formation Mechanism of a Single-Atom Catalyst via Infrared Spectroscopic Analysis
Yanzhang Zhao, Huan Li, Jieqiong Shan, et al.
Plant Methods
|
September 2, 2023
Improved genomic prediction using machine learning with Variational Bayesian sparsity
Qingsen Yan, Mario Fruzangohar, Julian Taylor, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 21, 2024
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 18, 2024
Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining
Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi
Nano Letters
|
October 27, 2023
Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning
Xinyu Li, Javen Qinfeng Shi, Alister J Page
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
May 15, 2023
SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring
Qingsen Yan, Dong Gong, Pei Wang, et al.
Nature Nanotechnology
|
June 1, 2026
Hydrophobic liquid electrolyte interphases for efficient aqueous zinc batteries
Guanjie Li, Shilin Zhang, Jodie A Yuwono, et al.
Journal of the American Chemical Society
|
August 3, 2024
Machine Learning Big Data Set Analysis Reveals C-C Electro-Coupling Mechanism
Haobo Li, Xinyu Li, Pengtang Wang, et al.
ACS Nano
|
April 30, 2025
Active Learning-Based Prediction of Drug Combination Efficacy
Song Jin, Xinyu Li, Guangze Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
May 29, 2023
Human Interaction Understanding With Consistency-Aware Learning
Jiajun Meng, Zhenhua Wang, Kaining Ying, et al.
The Journal of Physical Chemistry Letters
|
December 4, 2023
Machine Learning Confirms the Formation Mechanism of a Single-Atom Catalyst via Infrared Spectroscopic Analysis
Yanzhang Zhao, Huan Li, Jieqiong Shan, et al.
Plant Methods
|
September 2, 2023
Improved genomic prediction using machine learning with Variational Bayesian sparsity
Qingsen Yan, Mario Fruzangohar, Julian Taylor, et al.
Page
of 2