Alessandro Achille
Alessandro Achille
Applied Scientist, Amazon Web Services and Caltech
Adresse e-mail validée de caltech.edu - Page d'accueil
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Année
Emergence of invariance and disentanglement in deep representations
A Achille, S Soatto
The Journal of Machine Learning Research 19 (1), 1947-1980, 2018
321*2018
Information Dropout: Learning optimal representations through noisy computation
A Achille, S Soatto
IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (12), 2897 …, 2018
2532018
Task2vec: Task embedding for meta-learning
A Achille, M Lam, R Tewari, A Ravichandran, S Maji, CC Fowlkes, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
982019
Critical Learning Periods in Deep Networks
A Achille, M Rovere, S Soatto
International Conference on Learning Representations, 2019
77*2019
Life-long disentangled representation learning with cross-domain latent homologies
A Achille, T Eccles, L Matthey, CP Burgess, N Watters, A Lerchner, ...
Conference on Neural Information Processing Systems, 2018
622018
Time matters in regularizing deep networks: Weight decay and data augmentation affect early learning dynamics, matter little near convergence
A Golatkar, A Achille, S Soatto
Conference on Neural Information Processing Systems, 2019
382019
Toward understanding catastrophic forgetting in continual learning
CV Nguyen, A Achille, M Lam, T Hassner, V Mahadevan, S Soatto
arXiv preprint arXiv:1908.01091, 2019
252019
Where is the information in a deep neural network?
A Achille, G Paolini, S Soatto
ArXiv Preprints, arXiv:1905.12213 1905 (12213), 1-13, 2019
252019
Eternal sunshine of the spotless net: Selective forgetting in deep networks
A Golatkar, A Achille, S Soatto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
222020
The information complexity of learning tasks, their structure and their distance
A Achille, G Paolini, G Mbeng, S Soatto
Information and Inference: A Journal of the IMA, 2019
19*2019
E46K-like α-synuclein mutants increase lipid interactions and disrupt membrane selectivity
M Rovere, AE Powers, H Jiang, JC Pitino, L Fonseca-Ornelas, DS Patel, ...
Journal of Biological Chemistry 294 (25), 9799-9812, 2019
172019
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
A Golatkar, A Achille, S Soatto
European Conference on Computer Vision, 2020
142020
A separation principle for control in the age of deep learning
A Achille, S Soatto
Annual Review of Control, Robotics, and Autonomous Systems 1, 287-307, 2018
112018
Incremental Meta-Learning via Indirect Discriminant Alignment
Q Liu, O Majumder, A Achille, A Ravichandran, R Bhotika, S Soatto
European Conference on Computer Vision, 2020
9*2020
Adversarial training reduces information and improves transferability
M Terzi, A Achille, M Maggipinto, GA Susto
AAAI 2021, 2020
62020
Dynamics and reachability of learning tasks
A Achille, G Mbeng, S Soatto
arXiv preprint arXiv:1810.02440, 2018
62018
A linearized framework and a new benchmark for model selection for fine-tuning
A Deshpande, A Achille, A Ravichandran, H Li, L Zancato, C Fowlkes, ...
arXiv preprint arXiv:2102.00084, 2021
52021
The Dynamic Distance Between Learning Tasks
A Achille, GB Mbeng, S Soatto
5*2018
Mixed-Privacy Forgetting in Deep Networks
A Golatkar, A Achille, A Ravichandran, M Polito, S Soatto
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
42020
Predicting training time without training
L Zancato, A Achille, A Ravichandran, R Bhotika, S Soatto
Conference on Neural Information Processing Systems, 2020
42020
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