Hiroshi Takahashi
9 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π Grand Slam
π
Conference Pioneer
Top co-authors
Research topics
Keywords
positive-unlabeled learning
(3)
covariate shift
(2)
density estimation
(2)
importance weighting
(2)
variational autoencoder
(2)
decision making
(1)
adversarial training
(1)
posterior distribution
(1)
kullback-leibler divergence
(1)
distribution shift
(1)
auc
(1)
prior distribution
(1)
latent variable model
(1)
diffusion model
(1)
latent variable
(1)
binary classifier
(1)
imbalanced classification
(1)
cross-entropy loss
(1)
evidence lower bound
(1)
concept shift
(1)
Papers
Flowchart-Based Decision Making with Large Language Models
ACL 2025
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
AISTATS 2025
Positive-unlabeled AUC Maximization under Covariate Shift
ICML 2025
Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
ICLR 2025
AUC Maximization under Positive Distribution Shift
NeurIPS 2024
Meta-learning for Robust Anomaly Detection
AISTATS 2023
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
ICML 2023
Variational Autoencoder with Implicit Optimal Priors
AAAI 2019
Student-t Variational Autoencoder for Robust Density Estimation
IJCAI 2018