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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer CVPR 2024
UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence CVPR 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding CVPR 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model CVPR 2024
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces CVPR 2024
Limits of Transformer Language Models on Learning to Compose Algorithms NIPS 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NIPS 2024
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NIPS 2024
IF-Font: Ideographic Description Sequence-Following Font Generation NIPS 2024
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training NIPS 2024
Bridge the Points: Graph-based Few-shot Segment Anything Semantically NIPS 2024
LIVE: Learnable In-Context Vector for Visual Question Answering NIPS 2024
ClevrSkills: Compositional Language And Visual Reasoning in Robotics NIPS 2024
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NIPS 2024
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NIPS 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NIPS 2024
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction AAAI 2024
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models AAAI 2024
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine AAAI 2024
Personalized LoRA for Human-Centered Text Understanding AAAI 2024
MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages AAAI 2024
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students’ Formative Assessment Responses in Science AAAI 2024