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2020 – today
- 2024
[j1]Can Yaras
, Kaleb Kassaw, Bohao Huang, Kyle Bradbury, Jordan M. Malof:
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1988-1998 (2024)- [c2]Can Yaras, Peng Wang, Laura Balzano, Qing Qu:
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. ICML 2024 - [i4]Can Yaras, Peng Wang, Laura Balzano, Qing Qu:
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. CoRR abs/2406.04112 (2024) - 2023
- [i3]Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu:
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. CoRR abs/2306.01154 (2023) - [i2]Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu:
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. CoRR abs/2311.02960 (2023) - 2022
- [c1]Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu:
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. NeurIPS 2022 - [i1]Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu:
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. CoRR abs/2209.09211 (2022)
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