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News
[Aug. 2024]
- Dr. Wang is grateful to receive the AI 100: The Top AI Thought Leaders award, presented by H2O.ai
+ - 1 JMLR (pruning provably improves generalization) accepted
- 1 JMLR (tighter theoretical analysis of sparse activation) accepted
- VITA welcomes three new Ph.D. students: Junbo Li, Yuehao Wang, and Kevin Wang
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+ - H. Yang*, Y. Liang, X. Guo, L. Wu, and Z. Wang
“Pruning Before Training May Improve Generalization, Provably”
Journal of Machine Learning Research (JMLR), 2024. [Paper] [Code]
- H. Yang*, Z. Jiang*, R. Zhang, Y. Liang, and Z. Wang
“Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK”
Journal of Machine Learning Research (JMLR), 2024. [Paper] [Code]
- G. Holste*, M. Lin, R. Zhou, F. Wang, L. Liu, Q. Yan, S. Tassel, K. Kovacs, E. Chew, Z. Lu, Z. Wang, and Y. Peng
“Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling”
npj Digital Medicine, 2024. [Paper] [Code]
- G. Holste*, Y. Zhou, S. Wang, A. Jaiswal, M. Lin, S. Zhuge, Y. Yang, D. Kim, T. Nguyen-Mau, M. Tran, J. Jeong, W. Park, J. Ryu, F. Hong, A. Verma, Y. Yamagishi, C. Kim, H. Seo, M. Kang, L. Celi, Z. Lu, R. Summers, G. Shih, Z. Wang, and Y. Peng
“Towards Long-tailed, Multi-label Disease Classification from Chest X-ray”
Medical Image Analysis, 2024. [Paper] [Code]