| Emergence of invariance and disentanglement in deep representations A Achille, S Soatto Journal of Machine Learning Research 19 (50), 1-34, 2018 | 642* | 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 | 444 | 2018 |
| 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 | 422 | 2020 |
| 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 | 349 | 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 | 307 | 2021 |
| Critical Learning Periods in Deep Networks A Achille, M Rovere, S Soatto International Conference on Learning Representations, 2019 | 270* | 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 | 179 | 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 | 160 | 2021 |
| 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 | 153 | 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 | 139 | 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 | 108 | 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 | 92 | 2019 |
| Task adaptive parameter sharing for multi-task learning M Wallingford, H Li, A Achille, A Ravichandran, C Fowlkes, R Bhotika, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 73 | 2022 |
| 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 | 73 | 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 | 61 | 2019 |
| Mixed differential privacy in computer vision A Golatkar, A Achille, YX Wang, A Roth, M Kearns, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 53 | 2022 |
| CPR: Retrieval augmented generation for copyright protection A Golatkar, A Achille, L Zancato, YX Wang, A Swaminathan, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 49 | 2024 |
| 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 | 46 | 2021 |
| 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 | 44 | 2019 |
| 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 | 37 | 2021 |
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIEmail verificata su ucla.edu