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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

The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NIPS 2024
Is Programming by Example Solved by LLMs? NIPS 2024
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner NIPS 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models NIPS 2024
CALVIN: Improved Contextual Video Captioning via Instruction Tuning NIPS 2024
In-Context Learning State Vector with Inner and Momentum Optimization NIPS 2024
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning NIPS 2024
A Simple Image Segmentation Framework via In-Context Examples NIPS 2024
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation NIPS 2024
Boosting Vision-Language Models with Transduction NIPS 2024
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning NIPS 2024
Large Language Models for Mathematical Reasoning: Progresses and Challenges EACL 2024
Action Imitation in Common Action Space for Customized Action Image Synthesis NIPS 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NIPS 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark NIPS 2024
Japanese-English Sentence Translation Exercises Dataset for Automatic Grading EACL 2024
Any-Way Meta Learning AAAI 2024
TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection ACL 2024
LLaMA-Based Models for Aspect-Based Sentiment Analysis ACL 2024
LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings EACL 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts CVPR 2024
Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models EMNLP 2024