Tomoya Sakai
9 papers · 2016–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Academic Marathon (8) π Cross-Pollinator (9) πΊοΈ Taxonomy Completionist (29) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Conference Pioneer
ποΈ
Keyword Collector
(50)
β
The Questioner
Conferences
AISTATS (2)
ICML (2)
NIPS (2)
AAAI (1)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
semantic segmentation
(2)
learning theory
(1)
importance weighting
(1)
domain adaptation
(1)
image segmentation
(1)
semi-supervised learning
(1)
few-shot learning
(1)
binary classification
(1)
pixel classification
(1)
optimal transport
(1)
supervised learning
(1)
feature matching
(1)
positive unlabeled learning
(1)
covariate shift
(1)
double descent
(1)
semi-supervised classification
(1)
conditional density
(1)
reproducing kernel
(1)
representation learning
(1)
causal inference
(1)
Papers
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
NIPS 2024
Probabilistic Feature Matching for Fast Scalable Visual Prompting
IJCAI 2024
Regret Minimization for Causal Inference on Large Treatment Space
AISTATS 2021
Robust modal regression with direct gradient approximation of modal regression risk
UAI 2020
Do We Need Zero Training Loss After Achieving Zero Training Error?
ICML 2020
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
AAAI 2019
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data
ICML 2017
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
AISTATS 2017
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
NIPS 2016