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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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Uniform Sampling over Episode Difficulty


Aug 03, 2021
Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto

* In submission 

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Representation Consolidation for Training Expert Students


Jul 16, 2021
Zhizhong Li, Avinash Ravichandran, Charless Fowlkes, Marzia Polito, Rahul Bhotika, 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

* 14 pages 

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Revisiting Contrastive Learning for Few-Shot Classification


Jan 26, 2021
Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto


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Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning


Jan 21, 2021
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Zhuowen Tu, Stefano Soatto


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Estimating informativeness of samples with Smooth Unique Information


Jan 17, 2021
Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

* ICLR 2021, 22 pages 

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Mixed-Privacy Forgetting in Deep Networks


Dec 24, 2020
Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto


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LQF: Linear Quadratic Fine-Tuning


Dec 21, 2020
Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto


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Predicting Training Time Without Training


Aug 28, 2020
Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


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Rethinking the Hyperparameters for Fine-tuning


Feb 19, 2020
Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

* Published as a conference paper at ICLR 2020 

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Continual Universal Object Detection


Feb 13, 2020
Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


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Incremental Learning for Metric-Based Meta-Learners


Feb 11, 2020
Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


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Unbiased Evaluation of Deep Metric Learning Algorithms


Nov 28, 2019
Istvan Fehervari, Avinash Ravichandran, Srikar Appalaraju


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A Baseline for Few-Shot Image Classification


Sep 06, 2019
Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto


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Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training


May 10, 2019
Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


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Meta-Learning with Differentiable Convex Optimization


Apr 23, 2019
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto

* Accepted to CVPR 2019 (Oral) 

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Task2Vec: Task Embedding for Meta-Learning


Feb 10, 2019
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Stefano Soatto, Pietro Perona


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