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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

`Less Than One'-Shot Learning: Learning N Classes From M < N Samples AAAI 2021
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference NAACL 2021
Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent EMNLP 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection EMNLP 2020
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020
Exploring the zero-shot limit of FewRel COLING 2020
Self-Supervised Few-Shot Learning on Point Clouds NIPS 2020
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NIPS 2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation CVPR 2020
Transformers for One-Shot Visual Imitation CORL 2020
Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization COLING 2020
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following CORL 2020
Proxy Network for Few Shot Learning ACML 2020
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer AACL 2020
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation NIPS 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
COBE: Contextualized Object Embeddings from Narrated Instructional Video NIPS 2020
Few-Cost Salient Object Detection with Adversarial-Paced Learning NIPS 2020
Auxiliary Task Reweighting for Minimum-data Learning NIPS 2020
IntKB: A Verifiable Interactive Framework for Knowledge Base Completion COLING 2020
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification COLING 2020
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations ACL 2020
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network ACL 2020
PeTra: A Sparsely Supervised Memory Model for People Tracking ACL 2020