"downstream tasks" Papers
12 papers found
Conference
CleanDIFT: Diffusion Features without Noise
Nick Stracke, Stefan Andreas Baumann, Kolja Bauer et al.
CVPR 2025arXiv:2412.03439
24
citations
Contextures: Representations from Contexts
Runtian Zhai, Kai Yang, Burak VARICI et al.
ICML 2025arXiv:2505.01557
1
citations
Establishing Task Scaling Laws via Compute-Efficient Model Ladders
Akshita Bhagia, Jiacheng Liu, Alexander Wettig et al.
COLM 2025paperarXiv:2412.04403
22
citations
Language Guided Skill Discovery
Seungeun Rho, Laura Smith, Tianyu Li et al.
ICLR 2025arXiv:2406.06615
15
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 2025arXiv: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
4
citations
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
Andrew Song, Richard J. Chen, Tong Ding et al.
CVPR 2024arXiv:2405.11643
79
citations
Parameter-Efficient Fine-Tuning with Controls
Chi Zhang, Jingpu Cheng, Yanyu Xu et al.
ICML 2024
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
2
citations
Robustness Tokens: Towards Adversarial Robustness of Transformers
Brian Pulfer, Yury Belousov, Slava Voloshynovskiy
ECCV 2024arXiv:2503.10191
Transferring Knowledge From Large Foundation Models to Small Downstream Models
Shikai Qiu, Boran Han, Danielle Robinson et al.
ICML 2024arXiv:2406.07337
8
citations