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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning CVPR 2021
Learning a Universal Template for Few-shot Dataset Generalization ICML 2021
Few-Shot Partial-Label Learning IJCAI 2021
Self-supervised Network Evolution for Few-shot Classification IJCAI 2021
Regularising Knowledge Transfer by Meta Functional Learning IJCAI 2021
Fine-Grained Angular Contrastive Learning With Coarse Labels CVPR 2021
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World CVPR 2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning CVPR 2021
Generalized Few-Shot Object Detection Without Forgetting CVPR 2021
Few-NERD: A Few-shot Named Entity Recognition Dataset ACL 2021
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems ACL 2021
Lexicon Learning for Few Shot Sequence Modeling ACL 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ACL 2021
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition ACL 2021
Multi-Label Few-Shot Learning for Aspect Category Detection ACL 2021
Towards more equitable question answering systems: How much more data do you need? ACL 2021
Conditional Self-Supervised Learning for Few-Shot Classification IJCAI 2021
Learning Implicit Temporal Alignment for Few-shot Video Classification IJCAI 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation IJCAI 2021
Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021
Few-Shot 3D Point Cloud Semantic Segmentation CVPR 2021
Few-Shot Classification With Feature Map Reconstruction Networks CVPR 2021
Z-Score Normalization, Hubness, and Few-Shot Learning ICCV 2021
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning ICCV 2021
Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning ICCV 2021