few-shot learning

3390 papers

Explore in graph

Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

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

A Survey on In-context Learning EMNLP 2024

Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024

Evaluating Large Language Models via Linguistic Profiling EMNLP 2024

With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models EMNLP 2024

What do Large Language Models Need for Machine Translation Evaluation? EMNLP 2024

Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024

Dual-Phase Accelerated Prompt Optimization EMNLP 2024

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL 2024