conftrace_
← Learning Types
Machine Learning › Learning Types ›

Few-Shot Learning

1,837 papers

Papers per year

1
2
117
381
'10
'15
'20
'25

Papers

Expressive, Variable, and Controllable Duration Modelling in TTS INTERSPEECH 2022
Few Shot Cross-Lingual TTS Using Transferable Phoneme Embedding INTERSPEECH 2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting INTERSPEECH 2022
Training speaker recognition systems with limited data INTERSPEECH 2022
LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification NAACL 2022
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization NAACL 2022
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering NAACL 2022
On Curriculum Learning for Commonsense Reasoning NAACL 2022
Context-Aware Abbreviation Expansion Using Large Language Models NAACL 2022
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data NAACL 2022
DEGREE: A Data-Efficient Generation-Based Event Extraction Model NAACL 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification NAACL 2022
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models NAACL 2022
Do Prompt-Based Models Really Understand the Meaning of Their Prompts? NAACL 2022
Learning To Retrieve Prompts for In-Context Learning NAACL 2022
MetaICL: Learning to Learn In Context NAACL 2022
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis NAACL 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training NAACL 2022
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning NAACL 2022
AISFG: Abundant Information Slot Filling Generator NAACL 2022
A Data Cartography based MixUp for Pre-trained Language Models NAACL 2022
Imagination-Augmented Natural Language Understanding NAACL 2022
Compositional Task-Oriented Parsing as Abstractive Question Answering NAACL 2022
Show, Don’t Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue NAACL 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022