Aditya Golatkar
12 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (5) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (25)
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π
Renaissance Researcher
(6)
π€
Dynamic Duo
(12)
π
Century Club
(12)
π
Trend Setter
π₯
Unstoppable
(6)
Conferences
CVPR (5)
ECCV (2)
ICLR (2)
NIPS (2)
ICCV (1)
Top co-authors
Research topics
Keywords
machine unlearning
(4)
deep neural network
(2)
selective forgetting
(2)
image classification
(2)
differential privacy
(2)
model adaptation
(1)
learning theory
(1)
model compression
(1)
image generation
(1)
few-shot learning
(1)
transfer learning
(1)
privacy preservation
(1)
transformer architecture
(1)
zero-shot learning
(1)
transductive inference
(1)
model interpretability
(1)
conditional mutual information
(1)
linear approximation
(1)
generative model
(1)
stochastic gradient descent
(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
NIPS 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
On Leave-One-Out Conditional Mutual Information For Generalization
NIPS 2022
Mixed Differential Privacy in Computer Vision
CVPR 2022
Mixed-Privacy Forgetting in Deep Networks
CVPR 2021
LQF: Linear Quadratic Fine-Tuning
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