"downstream tasks" Papers
9 papers found
CleanDIFT: Diffusion Features without Noise
Nick Stracke, Stefan Andreas Baumann, Kolja Bauer et al.
CVPR 2025posterarXiv:2412.03439
22
citations
Language Guided Skill Discovery
Seungeun Rho, Laura Smith, Tianyu Li et al.
ICLR 2025posterarXiv:2406.06615
14
citations
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
Chengzhi Wu, Yuxin Wan, Hao Fu et al.
CVPR 2025posterarXiv:2504.19581
1
citations
THUNDER: Tile-level Histopathology image UNDERstanding benchmark
Pierre Marza, Leo Fillioux, Sofiène Boutaj et al.
NeurIPS 2025spotlightarXiv:2507.07860
3
citations
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Won-Seok Choi, Hyundo Lee, Dong-Sig Han et al.
AAAI 2024paperarXiv:2402.08963
3
citations
Parameter-Efficient Fine-Tuning with Controls
Chi Zhang, Jingpu Cheng, Yanyu Xu et al.
ICML 2024poster
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning
Ruiqian Nai, Zixin Wen, Ji Li et al.
AAAI 2024paperarXiv:2403.00352
Robustness Tokens: Towards Adversarial Robustness of Transformers
Brian Pulfer, Yury Belousov, Slava Voloshynovskiy
ECCV 2024posterarXiv:2503.10191
Transferring Knowledge From Large Foundation Models to Small Downstream Models
Shikai Qiu, Boran Han, Danielle Robinson et al.
ICML 2024poster