← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Induction Networks for Few-Shot Text Classification EMNLP 2019
Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach EMNLP 2019
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy CVPR 2019
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation CVPR 2019
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data ICCV 2019
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis AAAI 2019
Large-Scale Long-Tailed Recognition in an Open World CVPR 2019
Large-Scale Multi-Label Text Classification on EU Legislation ACL 2019
Cross Attention Network for Few-shot Classification NIPS 2019
Learning to Learn By Self-Critique NIPS 2019
Learning to Learn Image Classifiers With Visual Analogy CVPR 2019
Meta-Learning With Differentiable Convex Optimization CVPR 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019
Learning View Priors for Single-View 3D Reconstruction CVPR 2019
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019
Image Deformation Meta-Networks for One-Shot Learning CVPR 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning CVPR 2019
Meta-Transfer Learning for Few-Shot Learning CVPR 2019
Personalizing Dialogue Agents via Meta-Learning ACL 2019
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting EMNLP 2018
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples ACL 2018
One-shot Learning for Question-Answering in Gaokao History Challenge COLING 2018