few-shot learning

3390 papers

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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

In-context Learning and Gradient Descent Revisited NAACL 2024

Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction EACL 2024

Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition WACV 2024

A Streamlined Span-based Factorization Method for Few Shot Named Entity Recognition COLING 2024

A Novel Three-stage Framework for Few-shot Named Entity Recognition COLING 2024

SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios INTERSPEECH 2024

On Scaling Up a Multilingual Vision and Language Model CVPR 2024

Large Language Models are Good Prompt Learners for Low-Shot Image Classification CVPR 2024

Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction EACL 2024

QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024

Learning Human-like Representations to Enable Learning Human Values NIPS 2024

FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models NIPS 2024

D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NIPS 2024

Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation NIPS 2024

Few-Shot Adversarial Prompt Learning on Vision-Language Models NIPS 2024

Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models NIPS 2024

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NIPS 2024

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