Daniel Lowd
20 papers · 2010–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Conference Polyglot (8)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(14)
π
Conference Polyglot
(8)
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
π₯
Unstoppable
(5)
π
Century Club
(20)
π
Trend Setter
ποΈ
Keyword Collector
(104)
π
Conference Pioneer
Conferences
ICML (4)
EMNLP (3)
JMLR (3)
NIPS (3)
ACL (2)
AISTATS (2)
COLING (2)
AAAI (1)
Top co-authors
Research topics
Keywords
structure learning
(4)
probabilistic modeling
(4)
markov network
(4)
graphical model
(3)
adversarial example
(3)
arithmetic circuit
(3)
adversarial training
(3)
adversarial attack
(2)
text classification
(2)
sum-product network
(2)
white-box attack
(2)
poisoning attack
(2)
adversarial learning
(2)
backdoor attack
(2)
relational learning
(1)
variational inference
(1)
model misspecification
(1)
feature learning
(1)
natural language processing
(1)
weakly supervised learning
(1)
Papers
Provable Robustness against a Union of L_0 Adversarial Attacks
AAAI 2024
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
JMLR 2023
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers
EMNLP 2023
Towards Stronger Adversarial Baselines Through Human-AI Collaboration
ACL 2022
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
NIPS 2022
Machine Unlearning for Random Forests
ICML 2021
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations
EMNLP 2021
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift
NIPS 2020
HotFlip: White-Box Adversarial Examples for Text Classification
ACL 2018
On Adversarial Examples for Character-Level Neural Machine Translation
COLING 2018
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping
EMNLP 2016
Discriminative Structure Learning of Arithmetic Circuits
AISTATS 2016
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets
COLING 2016
The Libra Toolkit for Probabilistic Models
JMLR 2015
Learning Sum-Product Networks with Direct and Indirect Variable Interactions
ICML 2014
On Robustness and Regularization of Structural Support Vector Machines
ICML 2014
Improving Markov Network Structure Learning Using Decision Trees
JMLR 2014
Learning Markov Networks With Arithmetic Circuits
AISTATS 2013
Convex Adversarial Collective Classification
ICML 2013
Approximate Inference by Compilation to Arithmetic Circuits
NIPS 2010