conftrace_
← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Few-Shot Learning

2,562 papers

Papers per year

3
167
401
'15
'20
'25

Papers

Emergent Communication Pretraining for Few-Shot Machine Translation COLING 2020
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution COLING 2020
Few-shot Pseudo-Labeling for Intent Detection COLING 2020
TransQuest: Translation Quality Estimation with Cross-lingual Transformers COLING 2020
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks COLING 2020
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network COLING 2020
ManyEnt: A Dataset for Few-shot Entity Typing COLING 2020
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification COLING 2020
IntKB: A Verifiable Interactive Framework for Knowledge Base Completion COLING 2020
Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization COLING 2020
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training COLING 2020
Taxy.io@FinTOC-2020: Multilingual Document Structure Extraction using Transfer Learning COLING 2020
Winnowing with Gradient Descent COLT 2020
Re-solve it: simulating the acquisition of core semantic competences from small data CONLL 2020
Multi-Domain Learning for Accurate and Few-Shot Color Constancy CVPR 2020
METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos CVPR 2020
Learning to Autofocus CVPR 2020
Semi-Supervised Learning for Few-Shot Image-to-Image Translation CVPR 2020
Adaptive Subspaces for Few-Shot Learning CVPR 2020
Learning to Forget for Meta-Learning CVPR 2020
Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector CVPR 2020
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks CVPR 2020
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation CVPR 2020
Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions CVPR 2020