Thomas Dietterich
6 papers · 2014–2019 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Learning Types
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Mathematics
(1)
Methods
(1)
Keywords
anomaly detection
(2)
out-of-distribution detection
(2)
weakly supervised learning
(1)
sample complexity
(1)
pac learning
(1)
corruption robustness
(1)
markov chain monte carlo
(1)
empirical risk minimization
(1)
expectation propagation
(1)
variance reduction
(1)
gaussian approximation
(1)
superset label learning
(1)
generative model
(1)
adversarial defense
(1)
perturbation robustness
(1)
exogenous variable
(1)
collective graphical model
(1)
open category detection
(1)
outlier exposure
(1)
multi-instance bag
(1)
Papers
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
ICLR 2019
Deep Anomaly Detection with Outlier Exposure
ICLR 2019
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
ICML 2018
Open Category Detection with PAC Guarantees
ICML 2018
Gaussian Approximation of Collective Graphical Models
ICML 2014
Learnability of the Superset Label Learning Problem
ICML 2014