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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification COLING 2022
Pre-trained Token-replaced Detection Model as Few-shot Learner COLING 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning ICML 2022
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning NIPS 2022
Few-shot fine-tuning SOTA summarization models for medical dialogues NAACL 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification COLING 2022
On Data Efficiency of Meta-learning AISTATS 2021
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks ACL 2021
Few-NERD: A Few-shot Named Entity Recognition Dataset IJCNLP 2021
Towards more equitable question answering systems: How much more data do you need? IJCNLP 2021
PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning IJCNLP 2021
Multilingual and cross-lingual document classification: A meta-learning approach EACL 2021
Multimodal Prototypical Networks for Few-Shot Learning WACV 2021
The Functional Correspondence Problem ICCV 2021
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces ICCV 2021
Relating Relations: Meta-Relation Extraction from Online Health Forum Posts EACL 2021
Penalty Method for Inversion-Free Deep Bilevel Optimization ACML 2021
Few-Shot Segmentation via Cycle-Consistent Transformer NIPS 2021
Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021
Data-Efficient Language Shaped Few-shot Image Classification EMNLP 2021
Want To Reduce Labeling Cost? GPT-3 Can Help EMNLP 2021
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images EMNLP 2021
Minimal Supervision for Morphological Inflection EMNLP 2021
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation EMNLP 2021
What to Pre-Train on? Efficient Intermediate Task Selection EMNLP 2021