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Few-Shot Learning

2,562 papers

Papers per year

3
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Papers

Knowledge Guided Metric Learning for Few-Shot Text Classification NAACL 2021
ConVEx: Data-Efficient and Few-Shot Slot Labeling NAACL 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning NAACL 2021
Dynabench: Rethinking Benchmarking in NLP NAACL 2021
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names NAACL 2021
TuringAdvice: A Generative and Dynamic Evaluation of Language Use NAACL 2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning NAACL 2021
Learning to Learn Semantic Factors in Heterogeneous Image Classification NAACL 2021
Scalable Few-Shot Learning of Robust Biomedical Name Representations NAACL 2021
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization NAACL 2021
UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation. SEMEVAL 2021
Task similarity aware meta learning: theory-inspired improvement on MAML UAI 2021
Contrastive prototype learning with augmented embeddings for few-shot learning UAI 2021
Known unknowns: Learning novel concepts using reasoning-by-elimination UAI 2021
Deep kernels with probabilistic embeddings for small-data learning UAI 2021
Towards robust episodic meta-learning UAI 2021
Learning to learn with Gaussian processes UAI 2021
Information theoretic meta learning with Gaussian processes UAI 2021
Towards Contextual Learning in Few-Shot Object Classification WACV 2021
Variational Prototype Inference for Few-Shot Semantic Segmentation WACV 2021
Class-Wise Metric Scaling for Improved Few-Shot Classification WACV 2021
RNNP: A Robust Few-Shot Learning Approach WACV 2021
Class-Agnostic Few-Shot Object Counting WACV 2021
Improving Few-Shot Learning Using Composite Rotation Based Auxiliary Task WACV 2021
One-Shot Image Recognition Using Prototypical Encoders With Reduced Hubness WACV 2021