Alessandro Achille
Alessandro Achille
Senior Applied Scientist, Amazon Web Services and Caltech
Verified email at - Homepage
Cited by
Cited by
Emergence of invariance and disentanglement in deep representations
A Achille, S Soatto
The Journal of Machine Learning Research 19 (1), 1947-1980, 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
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
Critical Learning Periods in Deep Networks
A Achille, M Rovere, S Soatto
International Conference on Learning Representations, 2019
Structured Prediction as Translation between Augmented Natural Languages
G Paolini, B Athiwaratkun, J Krone, J Ma, A Achille, R Anubhai, ...
International Conference on Learning Representations, 2021
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
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
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
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
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
Layouttransformer: Layout generation and completion with self-attention
K Gupta, J Lazarow, A Achille, LS Davis, V Mahadevan, A Shrivastava
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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
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
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
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
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
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
Supervised momentum contrastive learning for few-shot classification
O Majumder, A Ravichandran, S Maji, A Achille, M Polito, S Soatto
arXiv preprint arXiv:2101.11058, 2021
Adversarial training reduces information and improves transferability
M Terzi, A Achille, M Maggipinto, GA Susto
AAAI 2021, 2020
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
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