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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification NAACL 2022
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data NAACL 2022
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering NAACL 2022
LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification NAACL 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification COLING 2022
Label Semantic Aware Pre-training for Few-shot Text Classification ACL 2022
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging ACL 2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition ACL 2022
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking ACL 2022
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework ACL 2022
Fast Few-shot Debugging for NLU Test Suites ACL 2022
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce ACL 2022
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models ACL 2022
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains ACL 2022
Meta-Learning with Self-Improving Momentum Target NIPS 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport NIPS 2022
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NIPS 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization NIPS 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning NIPS 2022
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification NIPS 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model NIPS 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation NIPS 2022
Few-Shot Continual Active Learning by a Robot NIPS 2022
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference NIPS 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification NIPS 2022