Alessandro Achille

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University of California, Los Angeles

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My research interests include representation learning, information theory, multi-task learning and variational inference.

Papers29 papers

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Estimating informativeness of samples with Smooth Unique Information

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

ICLR 2021, (2021)

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Structured Prediction as Translation between Augmented Natural Languages

Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma,Alessandro Achille, Rishita Anubhai,Cicero Nogueira dos Santos,Bing Xiang,Stefano Soatto

international conference on learning representations, (2020)

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Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment

Qing Liu,Orchid Majumder,Alessandro Achille,Avinash Ravichandran, Rahul Bhotika,Stefano Soatto

european conference on computer vision, pp.685-701, (2020)

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Mixed-Privacy Forgetting in Deep Networks

Aditya Golatkar,Alessandro Achille,Avinash Ravichandran, Marzia Polito,Stefano Soatto

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LQF: Linear Quadratic Fine-Tuning

Alessandro Achille,Aditya Golatkar,Avinash Ravichandran, Marzia Polito,Stefano Soatto

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Predicting Training Time Without Training

Luca Zancato,Alessandro Achille,Avinash Ravichandran,Rahul Bhotika,Stefano Soatto

NIPS 2020, (2020)

Cited by1EIBibtex

Incremental Meta Learning via Indirect Discriminant Alignment

Qing Liu,Orchid Majumder,Alessandro Achille, Avinash Ravichandran, Rahul Bhotika,Stefano Soatto

arXiv preprint arXiv:2002.04162, (2020)

Cited by2Bibtex

Adversarial Training Reduces Information and Improves Transferability

Matteo Terzi,Alessandro Achille, Marco Maggipinto,Gian Antonio Susto

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Layout Generation and Completion with Self-attention

Kamal Gupta,Alessandro Achille,Justin Lazarow, Larry Davis, Vijay Mahadevan,Abhinav Shrivastava

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Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

Golatkar Aditya,Achille Alessandro,Soatto Stefano

european conference on computer vision, pp.383-398, (2020)

Cited by3Bibtex

Task2Vec: Task Embedding for Meta-Learning

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

International Conference on Computer Vision, (2019): 6430-6439

Cited by52EIBibtex

Toward Understanding Catastrophic Forgetting in Continual Learning

Nguyen Cuong V.,Achille Alessandro, Lam Michael,Hassner Tal, Mahadevan Vijay,Soatto Stefano

Cited by17Bibtex

Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Neural Networks

Golatkar Aditya,Achille Alessandro,Soatto Stefano

Cited by3Bibtex

TextTubes for Detecting Curved Text in the Wild

Seytre Joël, Wu Jon,Achille Alessandro

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Dynamics and Reachability of Learning Tasks

Alessandro Achille, Glen Mbeng,Stefano Soatto

arXiv: Learning, (2019)

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Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence

Aditya Golatkar,Alessandro Achille,Stefano Soatto

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 10677-10687

Cited by15EIBibtex

Where is the Information in a Deep Neural Network

Alessandro Achille,Stefano Soatto

arXiv: Learning, (2019)

EIBibtex

Meta analysis of Continual Learning

Cuong V Nguyen,Alessandro Achille, Michael Lam,Tal Hassner, Vijay Mahadevan,Stefano Soatto

NeurIPSw, (2019)

Cited by1Bibtex

The Information Complexity of Learning Tasks, their Structure and their Distance

Alessandro Achille,Giovanni Paolini, Glen Mbeng,Stefano Soatto

arXiv: Learning, (2019)

Cited by38EIBibtex

Emergent Properties of Deep Neural Networks

Alessandro Achille

(2019)

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Alessandro AchilleBinding

Papers29 papers

Alessandro Achille