Steven Euijong Whang
9 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (23) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Cross-Pollinator
(13)
π
Grand Slam
Conferences
AAAI (3)
ICLR (2)
ICML (2)
CVPR (1)
NIPS (1)
Top co-authors
Keywords
privacy-preserving machine learning
(1)
concept drift
(1)
continual learning
(1)
benchmark evaluation
(1)
algorithmic fairness
(1)
probabilistic modeling
(1)
domain adaptation
(1)
data subset selection
(1)
confidence calibration
(1)
class-incremental learning
(1)
branch and bound
(1)
distribution shift
(1)
training data selection
(1)
adversarial perturbation
(1)
decision tree
(1)
decision boundary
(1)
relational database
(1)
group fairness
(1)
monotonic optimization
(1)
adversarial example
(1)
Papers
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
CVPR 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
ICLR 2025
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
ICML 2024
Quilt: Robust Data Segment Selection against Concept Drifts
AAAI 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
NIPS 2024
XClusters: Explainability-First Clustering
AAAI 2023
Improving Fair Training under Correlation Shifts
ICML 2023
Redactor: A Data-Centric and Individualized Defense against Inference Attacks
AAAI 2023
FairBatch: Batch Selection for Model Fairness
ICLR 2021