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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

Yes-MT’s Submission to the Low-Resource Indic Language Translation Shared Task in WMT 2024 EMNLP 2024
Cross-Domain Audio Deepfake Detection: Dataset and Analysis EMNLP 2024
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations EMNLP 2024
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training EMNLP 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024
Memory-Efficient Fine-Tuning of Transformers via Token Selection EMNLP 2024
Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization EMNLP 2024
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations EMNLP 2024
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models EMNLP 2024
Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention EMNLP 2024
Dual-Phase Accelerated Prompt Optimization EMNLP 2024
Representational Isomorphism and Alignment of Multilingual Large Language Models EMNLP 2024
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP EMNLP 2024
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? EMNLP 2024
Not All Tokens Are What You Need for Pretraining NIPS 2024
Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation NIPS 2024
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses NIPS 2024
Simple and Fast Distillation of Diffusion Models NIPS 2024
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning NIPS 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity NIPS 2024
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks NIPS 2024
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings WACV 2024
Self-Supervised Learning for Visual Relationship Detection Through Masked Bounding Box Reconstruction WACV 2024
HELA-VFA: A Hellinger Distance-Attention-Based Feature Aggregation Network for Few-Shot Classification WACV 2024
A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation IJCAI 2024