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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning AAAI 2022
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation ICML 2022
Few-Shot Document-Level Relation Extraction NAACL 2022
Template-free Prompt Tuning for Few-shot NER NAACL 2022
Contrastive Learning for Prompt-based Few-shot Language Learners NAACL 2022
Embedding Hallucination for Few-shot Language Fine-tuning NAACL 2022
IDPG: An Instance-Dependent Prompt Generation Method NAACL 2022
Few-shot Subgoal Planning with Language Models NAACL 2022
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification NAACL 2022
Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021
Few-Shot Open-Set Recognition by Transformation Consistency CVPR 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding CVPR 2021
Few-Shot Keyword Spotting in Any Language INTERSPEECH 2021
Teaching Keyword Spotters to Spot New Keywords with Limited Examples INTERSPEECH 2021
FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter CVPR 2021
On Episodes, Prototypical Networks, and Few-Shot Learning NIPS 2021
Mutual CRF-GNN for Few-Shot Learning CVPR 2021
Self-training Improves Pre-training for Natural Language Understanding NAACL 2021
Few-Shot Incremental Learning With Continually Evolved Classifiers CVPR 2021
Few-Shot Named Entity Recognition: An Empirical Baseline Study EMNLP 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021
Semi-Supervised Exaggeration Detection of Health Science Press Releases EMNLP 2021
Few-Shot Novel Concept Learning for Semantic Parsing EMNLP 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021