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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark NIPS 2024
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation NIPS 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NIPS 2024
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NIPS 2024
Hybrid Mamba for Few-Shot Segmentation NIPS 2024
LAMP: Learn A Motion Pattern for Few-Shot Video Generation CVPR 2024
VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization AAAI 2024
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection AAAI 2024
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NIPS 2024
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis COLING 2024
Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes AAAI 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors IJCAI 2024
Few-Shot Learning via Repurposing Ensemble of Black-Box Models AAAI 2024
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NIPS 2024
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis COLING 2024
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention AAAI 2024
Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study COLING 2024
Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency COLING 2024
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning AAAI 2024
S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning COLING 2024
Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition COLING 2024
MUCS@LT-EDI-2024: Learning Approaches to Empower Homophobic/Transphobic Comment Identification EACL 2024
LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification COLING 2024
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning NAACL 2024