2025 Poster "data augmentation" Papers

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Conference

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A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics

Licong Lin, Song Mei

NeurIPS 2025posterarXiv:2503.17538
3
citations

DataGen: Unified Synthetic Dataset Generation via Large Language Models

Yue Huang, Siyuan Wu, Chujie Gao et al.

ICLR 2025posterarXiv:2406.18966
21
citations

HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models

Seanie Lee, Haebin Seong, Dong Bok Lee et al.

ICLR 2025posterarXiv:2410.01524
13
citations

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

ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis

Onkar Susladkar, Gayatri Deshmukh, Yalcin Tur et al.

ICCV 2025posterarXiv:2505.04963
2
citations

What Do Latent Action Models Actually Learn?

Chuheng Zhang, Tim Pearce, Pushi Zhang et al.

NeurIPS 2025posterarXiv:2506.15691
7
citations