Tomoya Sakai
9 papers · 2016–2024 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze
π
Conference Pioneer
β
The Questioner
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(5)
Learning Types
(5)
Optimization & Theory Β· Machine Learning
(5)
Application Areas
(4)
Artificial Intelligence
(2)
Computer Vision
(2)
Deep Learning
(2)
Analysis
(2)
Architectures
(1)
Core AI
(1)
Learning Paradigms
(1)
Optimization & Theory Β· Deep Learning
(1)
Processing
(1)
Keywords
semantic segmentation
(2)
positive-unlabeled learning
(2)
learning theory
(1)
domain adaptation
(1)
image segmentation
(1)
semi-supervised learning
(1)
binary classification
(1)
conditional density
(1)
riemannian manifold
(1)
optimal transport
(1)
supervised learning
(1)
feature matching
(1)
covariate shift
(1)
importance weighting
(1)
semi-supervised classification
(1)
few-shot learning
(1)
reproducing kernel
(1)
pixel classification
(1)
double descent
(1)
representation learning
(1)
Papers
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
NeurIPS 2024
Probabilistic Feature Matching for Fast Scalable Visual Prompting
IJCAI 2024
Regret Minimization for Causal Inference on Large Treatment Space
AISTATS 2021
Do We Need Zero Training Loss After Achieving Zero Training Error?
ICML 2020
Robust modal regression with direct gradient approximation of modal regression risk
UAI 2020
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
AAAI 2019
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
AISTATS 2017
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data
ICML 2017
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
NeurIPS 2016