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few-shot learning 1large multimodal models 1post-hoc correction 1visual species recognition 1zero-shot classification 1

From the 1 of 40 linked papers with an AI index.

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20242026
most citedCurriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

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cs.CV2026

Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective

Tian Liu, Anwesha Basu, James Caverlee +1

Semi-supervised few-shot learning (SSFSL) resembles real-world applications such as auto-annotation, as it aims to learn a model from a few labeled and abundant unlabeled task-spec…

cs.CV2024

The Neglected Tails in Vision-Language Models

Shubham Parashar, Zhiqiu Lin, Tian Liu +5

Vision-language models (VLMs) excel in zero-shot recognition but their performance varies greatly across different visual concepts. For example, although CLIP achieves impressive a…