Aditya Golatkar
12 papers · 2020–2025 · 5 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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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§
Keyword Pioneer
π€
Dynamic Duo
(12)
π
Trend Setter
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(55)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Application Areas
(6)
Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Optimization & Theory Β· Deep Learning
(3)
Architectures
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Keywords
machine unlearning
(4)
differential privacy
(3)
deep neural network
(2)
image classification
(2)
selective forgetting
(2)
state space model
(2)
privacy preservation
(1)
information retrieval
(1)
stochastic gradient descent
(1)
transfer learning
(1)
image generation
(1)
model unlearning
(1)
learning theory
(1)
few-shot learning
(1)
model interpretability
(1)
model adaptation
(1)
transductive inference
(1)
conditional mutual information
(1)
linear approximation
(1)
zero-shot learning
(1)
Papers
PICASO: Permutation-Invariant Context Composition with State Space Models
ICLR 2025
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory
NeurIPS 2024
CPR: Retrieval Augmented Generation for Copyright Protection
CVPR 2024
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
ECCV 2024
Tangent Transformers for Composition,Privacy and Removal
ICLR 2024
SAFE: Machine Unlearning With Shard Graphs
ICCV 2023
Mixed Differential Privacy in Computer Vision
CVPR 2022
On Leave-One-Out Conditional Mutual Information For Generalization
NeurIPS 2022
LQF: Linear Quadratic Fine-Tuning
CVPR 2021
Mixed-Privacy Forgetting in Deep Networks
CVPR 2021
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
CVPR 2020
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
ECCV 2020