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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations ACL 2019
Feature Weighting and Boosting for Few-Shot Segmentation ICCV 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion EMNLP 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs EMNLP 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning ICCV 2019
Few-Shot and Zero-Shot Learning for Historical Text Normalization EMNLP 2019
Adaptive Cross-Modal Few-shot Learning NIPS 2019
Visual Concept-Metaconcept Learning NIPS 2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NIPS 2019
Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training ICCV 2019
Few-Shot Audio Classification with Attentional Graph Neural Networks INTERSPEECH 2019
Cost Effective Active Search NIPS 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification NIPS 2019
Efficient Meta Learning via Minibatch Proximal Update NIPS 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal CVPR 2019
Edge-Labeling Graph Neural Network for Few-Shot Learning CVPR 2019
Task Agnostic Meta-Learning for Few-Shot Learning CVPR 2019
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019
Gradient Matching Generative Networks for Zero-Shot Learning CVPR 2019
Few-Shot Learning via Saliency-Guided Hallucination of Samples CVPR 2019
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks EMNLP 2019
Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification EMNLP 2019