Fait Poms
4 papers · 2021–2021 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
Top co-authors
Research topics
Keywords
semi-supervised learning
(2)
active learning
(2)
image classification
(1)
feature learning
(1)
domain adaptation
(1)
model evaluation
(1)
class imbalance
(1)
importance sampling
(1)
importance weighting
(1)
distribution shift
(1)
imbalanced learning
(1)
imbalanced data
(1)
density ratio
(1)
auxiliary loss
(1)
rare category classification
(1)
classifier validation
(1)
f-score estimation
(1)
rare class detection
(1)
rare class classification
(1)
deep image classification
(1)
Papers
Background Splitting: Finding Rare Classes in a Sea of Background
CVPR 2021
Learning Rare Category Classifiers on a Tight Labeling Budget
ICCV 2021
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
ICCV 2021
Mandoline: Model Evaluation under Distribution Shift
ICML 2021