← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

PNPDet: Efficient Few-Shot Detection Without Forgetting via Plug-and-Play Sub-Networks WACV 2021
Class-Agnostic Few-Shot Object Counting WACV 2021
On Data Efficiency of Meta-learning AISTATS 2021
Making Pre-trained Language Models Better Few-shot Learners IJCNLP 2021
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification EMNLP 2021
A Language Model-based Generative Classifier for Sentence-level Discourse Parsing EMNLP 2021
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction EMNLP 2021
The Power of Scale for Parameter-Efficient Prompt Tuning EMNLP 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers EMNLP 2021
Improving and Simplifying Pattern Exploiting Training EMNLP 2021
Towards Realistic Few-Shot Relation Extraction EMNLP 2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks EMNLP 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP EMNLP 2021
Learning Opinion Summarizers by Selecting Informative Reviews EMNLP 2021
Neuralizing Regular Expressions for Slot Filling EMNLP 2021
Semi-Supervised Exaggeration Detection of Health Science Press Releases EMNLP 2021
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation EMNLP 2021
Want To Reduce Labeling Cost? GPT-3 Can Help EMNLP 2021
Few-Shot Partial-Label Learning IJCAI 2021
Learning Implicit Temporal Alignment for Few-shot Video Classification IJCAI 2021
Self-supervised Network Evolution for Few-shot Classification IJCAI 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation IJCAI 2021
Few-shot Learning for Slot Tagging with Attentive Relational Network EACL 2021
Classification of mental illnesses on social media using RoBERTa EACL 2021