Takashi Ishida
7 papers · 2017–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(10)
🐣
Hot Topic Early Bird
❓
The Questioner
(2)
Venues
Top co-authors
Research topics
Keywords
weakly supervised learning
(3)
complementary label
(2)
loss function
(2)
classification risk
(2)
unbiased estimator
(2)
binary classification
(2)
bregman divergence
(1)
multi-class classification
(1)
risk estimation
(1)
uncertainty estimation
(1)
cross-entropy loss
(1)
training loss
(1)
conditional expectation
(1)
complementary label learning
(1)
mediated uncoupled learning
(1)
one-class classification
(1)
unbiased risk estimator
(1)
error estimation
(1)
positive-confidence classification
(1)
selected completely at random
(1)
Papers
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
ICML 2024
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
ICLR 2023
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality
AISTATS 2023
Do We Need Zero Training Loss After Achieving Zero Training Error?
ICML 2020
Complementary-Label Learning for Arbitrary Losses and Models
ICML 2019
Binary Classification from Positive-Confidence Data
NeurIPS 2018
Learning from Complementary Labels
NeurIPS 2017