NEURIPS 2025 "transfer learning" Papers

15 papers found

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

Generative Graph Pattern Machine

Zehong Wang, Zheyuan Zhang, Tianyi Ma et al.

NEURIPS 2025posterarXiv:2505.16130
2
citations

Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency

Van-Anh Nguyen, Trung Le, Mehrtash Harandi et al.

NEURIPS 2025poster

Learning Skill-Attributes for Transferable Assessment in Video

Kumar Ashutosh, Kristen Grauman

NEURIPS 2025posterarXiv:2511.13993

Meta-learning how to Share Credit among Macro-Actions

Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu

NEURIPS 2025oralarXiv:2506.13690

On Transferring Transferability: Towards a Theory for Size Generalization

Eitan Levin, Yuxin Ma, Mateo Diaz et al.

NEURIPS 2025spotlightarXiv:2505.23599
2
citations

Principled Data Augmentation for Learning to Solve Quadratic Programming Problems

Chendi Qian, Christopher Morris

NEURIPS 2025spotlightarXiv:2506.01728

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

Reward-Aware Proto-Representations in Reinforcement Learning

Hon Tik Tse, Siddarth Chandrasekar, Marlos C. Machado

NEURIPS 2025oralarXiv:2505.16217
1
citations

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

Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift

Yi Zhang, Elynn Chen, Yujun Yan

NEURIPS 2025spotlightarXiv:2505.17203
1
citations

Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression

Yeichan Kim, Ilmun Kim, Seyoung Park

NEURIPS 2025spotlightarXiv:2510.15337

Unified Transferability Metrics for Time Series Foundation Models

Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.

NEURIPS 2025oral