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Few-Shot Learning

2,562 papers

Papers per year

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Papers

Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification IJCNLP 2021
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories IJCNLP 2021
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation IJCNLP 2021
UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation. IJCNLP 2021
Semantic Transportation Prototypical Network for Few-Shot Intent Detection INTERSPEECH 2021
Direct Multimodal Few-Shot Learning of Speech and Images INTERSPEECH 2021
Few-Shot Learning of New Sound Classes for Target Sound Extraction INTERSPEECH 2021
Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset INTERSPEECH 2021
Few-Shot Keyword Spotting in Any Language INTERSPEECH 2021
A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples INTERSPEECH 2021
Teaching Keyword Spotters to Spot New Keywords with Limited Examples INTERSPEECH 2021
On Multi-Armed Bandit Designs for Dose-Finding Trials JMLR 2021
Learning Visually Guided Latent Actions for Assistive Teleoperation L4DC 2021
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets MIDL 2021
EnSidNet: Enhanced Hybrid Siamese-Deep Network for grouping clinical trials into drug-development pathways NAACL 2021
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation NAACL 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples NAACL 2021
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference NAACL 2021
Self-Supervised Test-Time Learning for Reading Comprehension NAACL 2021
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System NAACL 2021
Non-Parametric Few-Shot Learning for Word Sense Disambiguation NAACL 2021
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis NAACL 2021
Towards Few-shot Fact-Checking via Perplexity NAACL 2021
It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners NAACL 2021
Example-Driven Intent Prediction with Observers NAACL 2021