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Conference and Workshop Papers
- 2024
[c8]Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang:
MD tree: a model-diagnostic tree grown on loss landscape. ICML 2024- 2023
- [c7]Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney:
A Three-regime Model of Network Pruning. ICML 2023: 42790-42809 - [c6]Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang:
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. NeurIPS 2023 - 2022
- [c5]Xinghao Zhu, Yefan Zhou, Yongxiang Fan, Lingfeng Sun, Jianyu Chen, Masayoshi Tomizuka:
Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss. ICRA 2022: 721-727 - 2021
- [c4]Yefan Zhou, Yiru Shen, Yujun Yan
, Chen Feng, Yaoqing Yang:
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. 3DV 2021: 1331-1340 - 2020
- [c3]Yefan Zhou, Zhao Lv, Chaoqun Wang, Shengli Zhang:
A Two-Stream Network For Driving Hand Gesture Recognition. ICDM (Workshops) 2020: 553-560 - [c2]Yefan Zhou, Jianxu Liu, Jirakom Sirisrisakulchai, Songsak Sriboonchitta:
Measurements of the Conditional Dependence Structure Among Carbon, Fossil Energy and Renewable Energy Prices: Vine Copula Based GJR-GARCH Model. IUKM 2020: 322-334 - 2019
- [c1]Yefan Zhou, Jirakom Sirisrisakulchai, Jianxu Liu, Songsak Sriboonchitta:
Factors Affecting Carbon Emissons in the G7 and BRICS Countries: Evidence from Quantile Regression. IUKM 2019: 406-417
Informal and Other Publications
- 2024
- [i6]Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang:
MD tree: a model-diagnostic tree grown on loss landscape. CoRR abs/2406.16988 (2024) - [i5]Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang:
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. CoRR abs/2407.12996 (2024) - 2023
- [i4]Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney:
A Three-regime Model of Network Pruning. CoRR abs/2305.18383 (2023) - [i3]Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang:
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. CoRR abs/2312.00359 (2023) - 2021
- [i2]Xinghao Zhu, Yefan Zhou, Yongxiang Fan, Masayoshi Tomizuka:
Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss. CoRR abs/2110.01379 (2021) - [i1]Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang:
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. CoRR abs/2111.15158 (2021)
Coauthor Index
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