Jonathan Brophy
4 papers · 2021–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(16)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Computer Science
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Applications · Computer Science
(1)
Applications · Natural Language Processing
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
natural language processing
(1)
uncertainty quantification
(1)
sentiment classification
(1)
incremental learning
(1)
machine unlearning
(1)
model interpretability
(1)
nearest neighbor
(1)
probabilistic prediction
(1)
gradient boosting
(1)
adversarial attack
(1)
latent representation
(1)
model update
(1)
random forest
(1)
regression tree
(1)
gradient boosted regression tree
(1)
data deletion
(1)
adversarial text
(1)
influence estimation
(1)
non-parametric method
(1)
gradient boosted decision tree
(1)
Papers
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
JMLR 2023
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
NeurIPS 2022
Machine Unlearning for Random Forests
ICML 2021
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations
EMNLP 2021