Ruomin Huang
7 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Silver
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Taxonomy Completionist
(22)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(4)
Learning Types
(4)
Optimization
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Core Methods
(3)
Application Areas
(2)
Core AI
(2)
Computer Science
(1)
Deep Learning
(1)
Security & Privacy
(1)
Foundations
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
gradient descent
(2)
privacy attack
(1)
distributionally robust optimization
(1)
catastrophic forgetting
(1)
adversarial robustness
(1)
logistic regression
(1)
in-context learning
(1)
neural network optimization
(1)
ensemble method
(1)
variance reduction
(1)
data compression
(1)
linear regression
(1)
sparse optimization
(1)
gradient descent algorithm
(1)
continual learning
(1)
support vector machine
(1)
approximation algorithm
(1)
coreset method
(1)
transformer architecture
(1)
wasserstein distance
(1)
Papers
Task Descriptors Help Transformers Learn Linear Models In-Context
ICLR 2025
To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation
ICLR 2025
An Effective Dynamic Gradient Calibration Method for Continual Learning
ICML 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
EMNLP 2024
Coresets for Relational Data and The Applications
NeurIPS 2022
Coresets for Wasserstein Distributionally Robust Optimization Problems
NeurIPS 2022
A Novel Sequential Coreset Method for Gradient Descent Algorithms
ICML 2021