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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching ICCV 2019
Few-Shot Unsupervised Image-to-Image Translation ICCV 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning ICML 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition IJCAI 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs IJCNLP 2019
Interactive Language Learning by Question Answering IJCNLP 2019
Sampling Bias in Deep Active Classification: An Empirical Study IJCNLP 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion IJCNLP 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks IJCNLP 2019
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification IJCNLP 2019
Learning Classifiers for Target Domain with Limited or No Labels ICML 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019
Infinite Mixture Prototypes for Few-shot Learning ICML 2019
Asking Clarification Questions in Knowledge-Based Question Answering IJCNLP 2019
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment ICCV 2019
Conditional Neural Movement Primitives RSS 2019
Teleoperator Imitation with Continuous-Time Safety RSS 2019
On the Performance of Thompson Sampling on Logistic Bandits COLT 2019
Experience-Embedded Visual Foresight CORL 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification ACL 2019
Few-Shot Object Detection via Feature Reweighting ICCV 2019
AMP: Adaptive Masked Proxies for Few-Shot Segmentation ICCV 2019
Learning to Generalize Kinematic Models to Novel Objects CORL 2019
Learning to Find Common Objects Across Few Image Collections ICCV 2019
Unsupervised Meta-Learning for Few-Shot Image Classification NIPS 2019