2025 Poster "transfer learning" Papers
14 papers found
Adversarial Robustness of Discriminative Self-Supervised Learning in Vision
Ömer Veysel Çağatan, Ömer TAL, M. Emre Gursoy
ICCV 2025posterarXiv:2503.06361
BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation
Rishal Aggarwal, Jacky Chen, Nicholas Boffi et al.
NeurIPS 2025posterarXiv:2507.00846
3
citations
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences
Shuchen Wu, Mirko Thalmann, Peter Dayan et al.
ICLR 2025posterarXiv:2410.21332
1
citations
Generative Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma et al.
NeurIPS 2025posterarXiv:2505.16130
2
citations
Implicit In-context Learning
Zhuowei Li, Zihao Xu, Ligong Han et al.
ICLR 2025posterarXiv:2405.14660
8
citations
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner, Elias Weber, Georgia Koppe et al.
ICLR 2025posterarXiv:2410.04814
16
citations
Learning Skill-Attributes for Transferable Assessment in Video
Kumar Ashutosh, Kristen Grauman
NeurIPS 2025posterarXiv:2511.13993
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
Fei Xie, Jiahao Nie, Yujin Tang et al.
CVPR 2025posterarXiv:2505.12685
1
citations
Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
Hongwei Wen, Annika Betken, Hanyuan Hang
ICLR 2025poster
1
citations
Optimization with Access to Auxiliary Information
EL MAHDI CHAYTI, Sai Karimireddy
ICLR 2025posterarXiv:2206.00395
14
citations
Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
Ziheng Cheng, Tianyu Xie, Shiyue Zhang et al.
NeurIPS 2025posterarXiv:2502.04491
2
citations
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng, Jiayuan Zhang, Yuhang Wu et al.
NeurIPS 2025posterarXiv:2510.14810
Robust Transfer Learning with Unreliable Source Data
Jianqing Fan, Cheng Gao, Jason Klusowski
NeurIPS 2025posterarXiv:2310.04606
2
citations
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
Toby Boyne, Juan Campos, Rebecca Langdon et al.
NeurIPS 2025posterarXiv:2506.07619
2
citations