ICLR "foundation models" Papers
10 papers found
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
Vlad Sobal, Mark Ibrahim, Randall Balestriero et al.
ICLR 2025posterarXiv:2407.18134
12
citations
AdaGrad under Anisotropic Smoothness
Yuxing Liu, Rui Pan, Tong Zhang
ICLR 2025posterarXiv:2406.15244
14
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
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse et al.
ICLR 2025posterarXiv:2501.16559
6
citations
Point-SAM: Promptable 3D Segmentation Model for Point Clouds
Yuchen Zhou, Jiayuan Gu, Tung Chiang et al.
ICLR 2025posterarXiv:2406.17741
40
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
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
Yichen Wu, Hongming Piao, Long-Kai Huang et al.
ICLR 2025posterarXiv:2501.13198
26
citations
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi, Shiyu Wang, Yuqi Nie et al.
ICLR 2025posterarXiv:2409.16040
178
citations