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Few-Shot Learning

1,837 papers

Papers per year

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Papers

AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021
Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? ACL 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
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation 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
IBM MNLP IE at CASE 2021 Task 2: NLI Reranking for Zero-Shot Text Classification ACL 2021
Penalty Method for Inversion-Free Deep Bilevel Optimization ACML 2021
On Data Efficiency of Meta-learning AISTATS 2021
Learning To Count Everything CVPR 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning CVPR 2021
Few-Shot Incremental Learning With Continually Evolved Classifiers CVPR 2021
Learning Normal Dynamics in Videos With Meta Prototype Network CVPR 2021
Mutual CRF-GNN for Few-Shot Learning CVPR 2021
Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021
Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning CVPR 2021
Pareto Self-Supervised Training for Few-Shot Learning CVPR 2021
Incremental Few-Shot Instance Segmentation CVPR 2021
Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation CVPR 2021
Hallucination Improves Few-Shot Object Detection CVPR 2021