ICLR 2025 "foundation models" Papers

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$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs

Vlad Sobal, Mark Ibrahim, Randall Balestriero et al.

ICLR 2025posterarXiv:2407.18134
12
citations

Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws

Yiding Jiang, Allan Zhou, Zhili Feng et al.

ICLR 2025posterarXiv:2410.11820
35
citations

CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts

Jihye Choi, Jayaram Raghuram, Yixuan Li et al.

ICLR 2025poster

Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models

Cong Lu, Shengran Hu, Jeff Clune

ICLR 2025posterarXiv:2405.15143
26
citations

Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation

Jihyo Kim, Seulbi Lee, Sangheum Hwang

ICLR 2025posterarXiv:2410.14975
3
citations