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2020 – today
- 2024
[c14]Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto:
CPR: Retrieval Augmented Generation for Copyright Protection. CVPR 2024: 12374-12384- [c13]Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. ECCV (63) 2024: 257-274 - [c12]Simranjit Singh, Aditya Golatkar, Avijit Verma:
Role of Over-Parameterization in Generalization of 3-layer ReLU Networks. Tiny Papers @ ICLR 2024 - [c11]Tian Yu Liu, Aditya Golatkar, Stefano Soatto:
Tangent Transformers for Composition, Privacy and Removal. ICLR 2024 - [i18]Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto:
CPR: Retrieval Augmented Generation for Copyright Protection. CoRR abs/2403.18920 (2024) - [i17]Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. CoRR abs/2406.08431 (2024) - [i16]Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto:
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR abs/2407.06324 (2024) - [i15]Elvis Nunez, Luca Zancato, Benjamin Bowman, Aditya Golatkar, Wei Xia, Stefano Soatto:
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models. CoRR abs/2412.13328 (2024) - 2023
- [b1]Aditya Golatkar:
Unlearning and Privacy in Deep Neural Networks. University of California, Los Angeles, USA, 2023 - [c10]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. ICCV 2023: 17062-17072 - [i14]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. CoRR abs/2304.13169 (2023) - [i13]Tian Yu Liu, Aditya Golatkar, Stefano Soatto:
Tangent Transformers for Composition, Privacy and Removal. CoRR abs/2307.08122 (2023) - [i12]Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Training Data Protection with Compositional Diffusion Models. CoRR abs/2308.01937 (2023) - 2022
- [c9]Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth
, Michael Kearns, Stefano Soatto:
Mixed Differential Privacy in Computer Vision. CVPR 2022: 8366-8376 - [c8]Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto:
On Leave-One-Out Conditional Mutual Information For Generalization. NeurIPS 2022 - [i11]Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto:
Mixed Differential Privacy in Computer Vision. CoRR abs/2203.11481 (2022) - [i10]Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto:
On Leave-One-Out Conditional Mutual Information For Generalization. CoRR abs/2207.00581 (2022) - [i9]Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille:
Integral Continual Learning Along the Tangent Vector Field of Tasks. CoRR abs/2211.13108 (2022) - 2021
- [c7]Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. CVPR 2021: 792-801 - [c6]Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
LQF: Linear Quadratic Fine-Tuning. CVPR 2021: 15729-15739 - [i8]Stephanie Tsuei, Aditya Golatkar, Stefano Soatto:
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers. CoRR abs/2106.13870 (2021) - 2020
- [c5]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CVPR 2020: 9301-9309 - [c4]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. ECCV (29) 2020: 383-398 - [i7]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. CoRR abs/2003.02960 (2020) - [i6]Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
LQF: Linear Quadratic Fine-Tuning. CoRR abs/2012.11140 (2020) - [i5]Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. CoRR abs/2012.13431 (2020)
2010 – 2019
- 2019
- [c3]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. NeurIPS 2019: 10677-10687 - [i4]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. CoRR abs/1905.13277 (2019) - [i3]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CoRR abs/1911.04933 (2019) - 2018
- [c2]Aditya Golatkar, Deepak Anand, Amit Sethi:
Classification of Breast Cancer Histology Using Deep Learning. ICIAR 2018: 837-844 - [c1]Rudrajit Das, Aditya Golatkar, Suyash P. Awate:
Sparse Kernel PCA for Outlier Detection. ICMLA 2018: 152-157 - [i2]Aditya Golatkar, Deepak Anand, Amit Sethi:
Classification of Breast Cancer Histology using Deep Learning. CoRR abs/1802.08080 (2018) - [i1]Rudrajit Das, Aditya Golatkar, Suyash P. Awate:
Sparse Kernel PCA for Outlier Detection. CoRR abs/1809.02497 (2018)
Coauthor Index
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