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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Consensus Adversarial Domain Adaptation AAAI 2019
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation AAAI 2019
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019
Harry Potter and the Action Prediction Challenge from Natural Language NAACL 2019
Using natural conversations to classify autism with limited data: Age matters NAACL 2019
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents AAAI 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification IJCNLP 2019
Compositional Generalization for Primitive Substitutions IJCNLP 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds IJCNLP 2019
Latent-Variable Generative Models for Data-Efficient Text Classification EMNLP 2019
Compositional Generalization for Primitive Substitutions EMNLP 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification EMNLP 2019
Dataset Mention Extraction and Classification NAACL 2019
Few-Shot Learning With Global Class Representations ICCV 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models ICCV 2019
Few-Shot Adaptive Gaze Estimation ICCV 2019
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning ICCV 2019
Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019
SILCO: Show a Few Images, Localize the Common Object ICCV 2019
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification ICCV 2019
Variational Few-Shot Learning ICCV 2019
Few-Shot Image Recognition With Knowledge Transfer ICCV 2019
Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach IJCNLP 2019
Induction Networks for Few-Shot Text Classification IJCNLP 2019
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks IJCNLP 2019