conftrace_
← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Few-Shot Learning

2,562 papers

Papers per year

3
167
401
'15
'20
'25

Papers

What transfers in morphological inflection? Experiments with analogical models ACL 2021
Multilingual Neural Semantic Parsing for Low-Resourced Languages ACL 2021
Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition ACML 2021
When MAML Can Adapt Fast and How to Assist When It Cannot AISTATS 2021
Fisher Auto-Encoders AISTATS 2021
Predictive Complexity Priors AISTATS 2021
Latent Derivative Bayesian Last Layer Networks AISTATS 2021
On Data Efficiency of Meta-learning AISTATS 2021
Online probabilistic label trees AISTATS 2021
The Sample Complexity of Meta Sparse Regression AISTATS 2021
Weak learning convex sets under normal distributions COLT 2021
BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language CONLL 2021
Learning To Count Everything CVPR 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning CVPR 2021
Few-Shot Incremental Learning With Continually Evolved Classifiers CVPR 2021
Mutual CRF-GNN for Few-Shot Learning CVPR 2021
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation CVPR 2021
Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021
Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning CVPR 2021
Repurposing GANs for One-Shot Semantic Part Segmentation CVPR 2021
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation CVPR 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021
FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter CVPR 2021
Few-Shot Image Generation via Cross-Domain Correspondence CVPR 2021
Few-Shot Open-Set Recognition by Transformation Consistency CVPR 2021