NeurIPS "data augmentation" Papers
6 papers found
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
Licong Lin, Song Mei
NeurIPS 2025posterarXiv:2503.17538
3
citations
DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation
Kefei Zhu, Fengshuo Bai, YuanHao Xiang et al.
NeurIPS 2025spotlightarXiv:2509.23829
3
citations
Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
Lucas Morisset, Adrien Hardy, Alain Durmus
NeurIPS 2025spotlightarXiv:2510.02119
TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models
Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.
NeurIPS 2025poster
Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection
Herun Wan, Jiaying Wu, Minnan Luo et al.
NeurIPS 2025posterarXiv:2506.02350
6
citations
What Do Latent Action Models Actually Learn?
Chuheng Zhang, Tim Pearce, Pushi Zhang et al.
NeurIPS 2025posterarXiv:2506.15691
7
citations