Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic…
When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classesby Asaf…
Many-Shot In-Context Learningby Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Luis Rosias, Stephanie…
A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategyby Dayin…
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical…
Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformersby Diana-Nicoleta Grigore, Mariana-Iuliana Georgescu,…
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and…
Experimental Design for Active Transductive Inference in Large Language Modelsby Subhojyoti Mukherjee, Anusha Lalitha, Aniket…
ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Modelby Kai Tang,…
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classificationby Zhenwei Wang, Qiule…