Krishnaram Kenthapadi
10 papers · 2019–2026 · 7 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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🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Triple Crown
🌈
Renaissance Researcher
(5)
❓
The Questioner
(2)
💎
Century Club · Bronze
📈
Trend Setter
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Keyword Collector
(52)
Top co-authors
Research topics
Machine Learning
(6)
Application Areas
(6)
Artificial Intelligence
(5)
Core AI
(5)
Optimization & Theory
(3)
Deep Learning
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Learning Types · Machine Learning
(1)
Keywords
protected attribute
(2)
ordinal regression
(1)
poisoning attack
(1)
named entity recognition
(1)
code generation
(1)
synthetic data generation
(1)
fair classification
(1)
statistical query
(1)
distribution matching
(1)
continuous relaxation
(1)
adversarial attack
(1)
deep neural network
(1)
bias mitigation
(1)
generalization guarantee
(1)
binary classification
(1)
robustness certification
(1)
evasion attack
(1)
adversarial example
(1)
electronic health record
(1)
offline reinforcement learning
(1)
Papers
RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows
MIDL 2026
Mastering the Craft of Data Synthesis for CodeLLMs
NAACL 2025
RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification
ACL 2025
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
NeurIPS 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
ICLR 2022
Generating Distributional Adversarial Examples to Evade Statistical Detectors
ICML 2022
Pairwise Fairness for Ordinal Regression
AISTATS 2022
Differentially Private Query Release Through Adaptive Projection
ICML 2021
On the Lack of Robust Interpretability of Neural Text Classifiers
ACL 2021
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
NAACL 2019