Lance Kaplan
6 papers · 2016–2020 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🌍 Conference Polyglot · Bronze 🧭 Keyword Pioneer
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Keyword Champion
🔥
Unstoppable · Bronze
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(4)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Models
(1)
Keywords
uncertainty quantification
(2)
generative model
(2)
out-of-distribution detection
(2)
bayesian inference
(1)
epistemic uncertainty
(1)
text mining
(1)
document clustering
(1)
outlier detection
(1)
probabilistic reasoning
(1)
decision making under uncertainty
(1)
probabilistic programming
(1)
document analysis
(1)
expected utility
(1)
dirichlet distribution
(1)
variational autoencoder
(1)
evidential learning
(1)
generative adversarial network
(1)
text embedding
(1)
adversarial example
(1)
evidential deep learning
(1)
Papers
Uncertainty-Aware Deep Classifiers Using Generative Models
AAAI 2020
Probabilistic Logic Programming with Beta-Distributed Random Variables
AAAI 2019
Spherical Text Embedding
NeurIPS 2019
Evidential Deep Learning to Quantify Classification Uncertainty
NeurIPS 2018
Identifying Semantically Deviating Outlier Documents
EMNLP 2017
Cross-media Event Extraction and Recommendation
NAACL 2016