"generalization improvement" Papers
12 papers found
Conference
Neural Collapse Inspired Knowledge Distillation
Shuoxi Zhang, Zijian Song, Kun He
AAAI 2025paperarXiv:2412.11788
1
citations
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
Yuxuan Yang, Dalin Zhang, Yuxuan Liang et al.
NEURIPS 2025spotlightarXiv:2502.14704
1
citations
PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data
CHANGHEE YANG, Hyeonseop Song, Seokhun Choi et al.
ICCV 2025arXiv:2503.13025
1
citations
Reparameterized LLM Training via Orthogonal Equivalence Transformation
Zeju Qiu, Simon Buchholz, Tim Xiao et al.
NEURIPS 2025arXiv:2506.08001
3
citations
Sharpness-Aware Minimization: General Analysis and Improved Rates
Dimitris Oikonomou, Nicolas Loizou
ICLR 2025arXiv:2503.02225
8
citations
Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis
Zeqin Yu, Haotao Xie, Jian Zhang et al.
NEURIPS 2025oralarXiv:2511.12658
Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning
Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan et al.
ICML 2024arXiv:2306.04815
25
citations
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
Minsoo Kang, Minkoo Kang, Suhyun Kim
AAAI 2024paperarXiv:2401.13193
7
citations
DSD$^2$: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
Victor Quetu, Enzo Tartaglione
AAAI 2024paperarXiv:2303.01213
6
citations
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
Suorong Yang, Furao Shen, Jian Zhao
ECCV 2024arXiv:2409.06290
14
citations
Improving Sharpness-Aware Minimization by Lookahead
Runsheng Yu, Youzhi Zhang, James Kwok
ICML 2024
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
Damien Teney, Jindong Wang, Ehsan Abbasnejad
ICML 2024arXiv:2305.16817
9
citations