Alex Beutel
15 papers · 2014–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (11) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (25)
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(25)
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Keyword Pioneer
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Keyword Champion
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Mega-Team
(40)
ποΈ
Keyword Collector
(60)
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Century Club
(15)
β
The Questioner
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Unstoppable
(6)
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Trend Setter
Conferences
NIPS (5)
EMNLP (4)
AISTATS (2)
ICLR (1)
ICML (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
distribution shift
(3)
large language model
(3)
text classification
(2)
adversarial learning
(2)
model robustness
(2)
domain generalization
(2)
counterfactual data augmentation
(2)
adversarial robustness
(1)
vision transformer
(1)
reinforcement learning
(1)
data augmentation
(1)
text generation
(1)
fairness testing
(1)
sentiment classification
(1)
sequential model
(1)
label smoothing
(1)
adversarial training
(1)
domain adaptation
(1)
distributed learning
(1)
toxicity detection
(1)
Papers
First-Person Fairness in Chatbots
ICLR 2025
Controlled Decoding from Language Models
ICML 2024
Rule Based Rewards for Language Model Safety
NIPS 2024
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
EMNLP 2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
NIPS 2023
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting
EMNLP 2023
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
NIPS 2022
Flexible text generation for counterfactual fairness probing
NAACL 2022
Improving Calibration through the Relationship with Adversarial Robustness
NIPS 2021
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
EMNLP 2021
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
EMNLP 2020
Fairness without Demographics through Adversarially Reweighted Learning
NIPS 2020
Factorized Recurrent Neural Architectures for Longer Range Dependence
AISTATS 2018
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data
AISTATS 2014