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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

One-Shot Domain Adaptation for Face Generation CVPR 2020
Learning to Select Base Classes for Few-Shot Classification CVPR 2020
Uncertainty-aware Self-training for Few-shot Text Classification NIPS 2020
Augmented Natural Language for Generative Sequence Labeling EMNLP 2020
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers EMNLP 2020
Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020
Few-Shot NLG with Pre-Trained Language Model ACL 2020
Few-Shot and Zero-Shot Learning for Historical Text Normalization EMNLP 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019
Cross-lingual NIL Entity Clustering for Low-resource Languages NAACL 2019
Deep Metric Learning to Rank CVPR 2019
AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction AAAI 2019
Dense Classification and Implanting for Few-Shot Learning CVPR 2019
Deep Meta Learning for Real-Time Target-Aware Visual Tracking ICCV 2019
Few-Shot Adaptive Faster R-CNN CVPR 2019
Large-Scale Long-Tailed Recognition in an Open World CVPR 2019
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise AAAI 2019
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data AAAI 2019
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning CVPR 2019
Text Classification with Few Examples using Controlled Generalization NAACL 2019
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019
Active Sampling for Open-Set Classification without Initial Annotation AAAI 2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NIPS 2019
Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik ACL 2019