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Integral Continual Learning Along the Tangent Vector Field of Tasks


Nov 23, 2022
Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille

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Critical Learning Periods for Multisensory Integration in Deep Networks


Oct 06, 2022
Michael Kleinman, Alessandro Achille, Stefano Soatto

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On the Learnability of Physical Concepts: Can a Neural Network Understand What's Real?


Aug 04, 2022
Alessandro Achille, Stefano Soatto

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On Leave-One-Out Conditional Mutual Information For Generalization


Jul 01, 2022
Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas Diggavi, Stefano Soatto

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Gacs-Korner Common Information Variational Autoencoder


May 24, 2022
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan Kao

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Task Adaptive Parameter Sharing for Multi-Task Learning


Mar 30, 2022
Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless Fowlkes, Rahul Bhotika, Stefano Soatto

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* CVPR 2022 Camera Ready. 15 pages, 11 figures 

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Towards Differential Relational Privacy and its use in Question Answering


Mar 30, 2022
Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto

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Mixed Differential Privacy in Computer Vision


Mar 28, 2022
Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto

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* Accepted at CVPR 2022 

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DIVA: Dataset Derivative of a Learning Task


Nov 18, 2021
Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto

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A linearized framework and a new benchmark for model selection for fine-tuning


Jan 29, 2021
Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona

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* 14 pages 

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