"downstream task adaptation" Papers

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Attribute-based Visual Reprogramming for Vision-Language Models

Chengyi Cai, Zesheng Ye, Lei Feng et al.

ICLR 2025arXiv:2501.13982
5
citations

One Prompt Fits All: Universal Graph Adaptation for Pretrained Models

Yongqi Huang, Jitao Zhao, Dongxiao He et al.

NEURIPS 2025arXiv:2509.22416
3
citations

Provable unlearning in topic modeling and downstream tasks

Stanley Wei, Sadhika Malladi, Sanjeev Arora et al.

ICLR 2025arXiv:2411.12600
2
citations

SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation

Jongmin Lee, Meiqi Sun, Pieter Abbeel

ICLR 2025arXiv:2512.10042

A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives

Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro et al.

CVPR 2024arXiv:2403.03037
11
citations

A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui et al.

ICML 2024arXiv:2405.16646
10
citations

Constrained Ensemble Exploration for Unsupervised Skill Discovery

Chenjia Bai, Rushuai Yang, Qiaosheng Zhang et al.

ICML 2024arXiv:2405.16030
7
citations

DTL: Disentangled Transfer Learning for Visual Recognition

Minghao Fu, Ke Zhu, Jianxin Wu

AAAI 2024paperarXiv:2312.07856
26
citations

HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning

Xingtong Yu, Yuan Fang, Zemin Liu et al.

AAAI 2024paperarXiv:2312.01878
61
citations

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation

Xinyu Ma, Xu Chu, Zhibang Yang et al.

ICML 2024arXiv:2404.04316
17
citations

Stitched ViTs are Flexible Vision Backbones

Zizheng Pan, Jing Liu, Haoyu He et al.

ECCV 2024arXiv:2307.00154
4
citations

TVE: Learning Meta-attribution for Transferable Vision Explainer

Guanchu (Gary) Wang, Yu-Neng Chuang, Fan Yang et al.

ICML 2024arXiv:2312.15359
2
citations

Vision Transformers as Probabilistic Expansion from Learngene

Qiufeng Wang, Xu Yang, Haokun Chen et al.

ICML 2024