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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification WACV 2024
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model AAAI 2024
Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024
Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding ACL 2024
JSI and WüNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far NAACL 2024
TISE: A Tripartite In-context Selection Method for Event Argument Extraction NAACL 2024
Adaptive Manifold for Imbalanced Transductive Few-Shot Learning WACV 2024
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification NAACL 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024
Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024
Can GPT4 Detect Euphemisms across Multiple Languages? NAACL 2024
Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities ACL 2024
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling ACL 2024
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records NIPS 2024
In-context Learning and Gradient Descent Revisited NAACL 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors COLING 2024
One-Shot Learning as Instruction Data Prospector for Large Language Models ACL 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024
YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation NAACL 2024
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks NIPS 2024
SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes SEMEVAL 2024
InstructEval: Systematic Evaluation of Instruction Selection Methods NAACL 2024
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers SEMEVAL 2024
ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation SEMEVAL 2024