conftrace_
← Keywords

few-shot learning

3398 papers

Explore in graph

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

ISDS-NLP at SemEval-2024 Task 10: Transformer based neural networks for emotion recognition in conversations NAACL 2024
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification NAACL 2024
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling NAACL 2024
Few-Shot Event Argument Extraction Based on a Meta-Learning Approach NAACL 2024
Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis NAACL 2024
LegalDiscourse: Interpreting When Laws Apply and To Whom NAACL 2024
REPLUG: Retrieval-Augmented Black-Box Language Models NAACL 2024
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning NAACL 2024
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