2024 Poster "few-shot classification" Papers
6 papers found
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
Zhengbo Wang, Jian Liang, Ran He et al.
ICML 2024posterarXiv:2402.04050
Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer
Le Yu, Xinde Li, Pengfei Zhang et al.
ICML 2024poster
GalLop: Learning global and local prompts for vision-language models
Marc Lafon, Elias Ramzi, Clément Rambour et al.
ECCV 2024posterarXiv:2407.01400
39
citations
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
Thalles Silva, Helio Pedrini, Adín Ramírez Rivera
ICML 2024posterarXiv:2407.17486
Learning to Obstruct Few-Shot Image Classification over Restricted Classes
Amber Yijia Zheng, Chiao-An Yang, Raymond Yeh
ECCV 2024posterarXiv:2409.19210
4
citations
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam, Simon Korman
ICML 2024posterarXiv:2407.01467