Deepak Ravikumar
5 papers · 2024–2025 · 3 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Core Methods
(1)
Optimization
(1)
Keywords
memorization
(3)
input loss curvature
(2)
model robustness
(1)
machine unlearning
(1)
label noise
(1)
singular value decomposition
(1)
deep model
(1)
curvature
(1)
noise robustness
(1)
deep neural network
(1)
loss function
(1)
learning dynamics
(1)
membership inference
(1)
train-test distinguishability
(1)
hessian analysis
(1)
weight projection
(1)
training sample
(1)
noise-robust training
(1)
generalization improvement
(1)
privacy-preserving technique
(1)
Papers
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
AAAI 2025
Towards Memorization Estimation: Fast, Formal and Free
ICML 2025
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature
NeurIPS 2024
Memorization Through the Lens of Curvature of Loss Function Around Samples
ICML 2024
Unveiling Privacy, Memorization, and Input Curvature Links
ICML 2024