Hsiang Hsu
13 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Keyword Champion (2)
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Triple Crown
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Keyword Collector
(58)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(7)
Application Areas
(6)
Core AI
(6)
Optimization & Theory
(6)
Core Methods
(5)
Deep Learning
(3)
Learning Types Β· Machine Learning
(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Applications Β· Data Science & Analytics
(1)
Applications Β· Natural Language Processing
(1)
Architectures
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
predictive multiplicity
(4)
group fairness
(3)
rashomon set
(3)
neural network
(2)
information theory
(2)
model selection
(2)
probabilistic classifier
(2)
prompt-based learning
(1)
text classification
(1)
catastrophic forgetting
(1)
information theoretic
(1)
information density
(1)
gradient boosting
(1)
multi-class classification
(1)
image-to-image translation
(1)
generative model
(1)
machine unlearning
(1)
data privacy
(1)
entropy maximization
(1)
class-incremental learning
(1)
Papers
PaLD: Detection of Text Partially Written by Large Language Models
ICLR 2025
PASS: Private Attributes Protection with Stochastic Data Substitution
ICML 2025
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
ICLR 2024
Machine Unlearning for Image-to-Image Generative Models
ICLR 2024
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
ICML 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
ICLR 2024
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
NeurIPS 2024
Individual Arbitrariness and Group Fairness
NeurIPS 2023
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection
NeurIPS 2022
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
NeurIPS 2022
CPR: Classifier-Projection Regularization for Continual Learning
ICLR 2021
Obfuscation via Information Density Estimation
AISTATS 2020
Correspondence Analysis Using Neural Networks
AISTATS 2019