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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks ACL 2020
Few-Shot Class-Incremental Learning CVPR 2020
Few-Shot Video Classification via Temporal Alignment CVPR 2020
Improved Few-Shot Visual Classification CVPR 2020
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization EMNLP 2020
Few-shot Natural Language Generation for Task-Oriented Dialog EMNLP 2020
FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization AAAI 2020
ManyEnt: A Dataset for Few-shot Entity Typing COLING 2020
Feature Deformation Meta-Networks in Image Captioning of Novel Objects AAAI 2020
SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition AAAI 2020
Planning to Explore via Self-Supervised World Models ICML 2020
Meta-Learning of Neural Architectures for Few-Shot Learning CVPR 2020
Incremental Few-Shot Object Detection CVPR 2020
Instance Credibility Inference for Few-Shot Learning CVPR 2020
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning CVPR 2020
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting JMLR 2020
Linear Disentangled Representations and Unsupervised Action Estimation NIPS 2020
Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing AAAI 2020
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search IJCAI 2020
Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition IJCAI 2020
Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020
Few-shot Human Motion Prediction via Learning Novel Motion Dynamics IJCAI 2020
Meta-learning for Mixed Linear Regression ICML 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020
Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020