Simulating federated learning for steatosis detection using ultrasound images von Qi, Yue, Vianna, Pedro, Cadrin-Chênevert, Alexandre, Blanchet, Katleen, Montagnon, Emmanuel, Belilovsky, Eugene, Wolf, Guy, Mullie, Louis-Antoine, Cloutier, Guy, Chassé, Michaël, Tang, An

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Scattering Networks for Hybrid Representation Learning von Oyallon, Edouard, Zagoruyko, Sergey, Huang, Gabriel, Komodakis, Nikos, Lacoste-Julien, Simon, Blaschko, Matthew, Belilovsky, Eugene

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Generalization of deep learning models for hepatic steatosis grading using B-mode ultrasound images von Vianna, Pedro, Qi, Yue, Chassé, Michael, Wolf, Guy, Belilovsky, Eugene, Tang, An, Cloutier, Guy

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Kymatio: Scattering Transforms in Python von Andreux, Mathieu, Angles, Tomas, Exarchakis, Georgios, Leonarduzzi, Roberto, Rochette, Gaspar, Thiry, Louis, Zarka, John, Mallat, Stephane, Anden, Joakim, Belilovsky, Eugene, Bruna, Joan, Lostanlen, Vincent, Chaudhary, Muawiz, Hirn, Matthew J., Oyallon, Edouard, Zhang, Sixin, Cella, Carmine, Eickenberg, Michael

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Scattering Networks for Hybrid Representation Learning von Oyallon, Edouard, Zagoruyko, Sergey, Huang, Gabriel, Komodakis, Nikos, Lacoste-Julien, Simon, Blaschko, Matthew, Belilovsky, Eugene

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Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis von Vianna, Pedro, Calce, Sara-Ivana, Boustros, Pamela, Larocque-Rigney, Cassandra, Patry-Beaudoin, Laurent, Luo, Yi Hui, Aslan, Emre, Marinos, John, Alamri, Talal M., Vu, Kim-Nhien, Murphy-Lavallée, Jessica, Billiard, Jean-Sébastien, Montagnon, Emmanuel, Li, Hongliang, Kadoury, Samuel, Nguyen, Bich N., Gauthier, Shanel, Therien, Benjamin, Rish, Irina, Belilovsky, Eugene, Wolf, Guy, Chassé, Michaël, Cloutier, Guy, Tang, An

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Convex relaxations of penalties for sparse correlated variables with bounded total variation von Belilovsky, Eugene, Argyriou, Andreas, Varoquaux, Gaël, Blaschko, Matthew

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Convex relaxations of penalties for sparse correlated variables with bounded total variation von Belilovsky, Eugene, Argyriou, Andreas, Varoquaux, Gaël, Blaschko, Matthew

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Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks von Davari, MohammadReza, Belilovsky, Eugene

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Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors von Michalkiewicz, Mateusz, Parisot, Sarah, Tsogkas, Stavros, Baktashmotlagh, Mahsa, Eriksson, Anders, Belilovsky, Eugene

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Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k -support norm von Belilovsky, Eugene, Gkirtzou, Katerina, Misyrlis, Michail, Konova, Anna B, Honorio, Jean, Alia-Klein, Nelly, Goldstein, Rita Z, Samaras, Dimitris, Blaschko, Matthew B

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Towards motion from video diffusion models von Janson, Paul, Popa, Tiberiu, Belilovsky, Eugene

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Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting von Hameed, Humza Wajid, Nanfack, Geraldin, Belilovsky, Eugene

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Controlling Forgetting with Test-Time Data in Continual Learning von Singh, Vaibhav, Aljundi, Rahaf, Belilovsky, Eugene

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From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation von Nanfack, Geraldin, Eickenberg, Michael, Belilovsky, Eugene

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Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm von Belilovsky, Eugene, Gkirtzou, Katerina, Misyrlis, Michail, Konova, Anna B, Honorio, Jean, Alia-Klein, Nelly, Goldstein, Rita Z, Samaras, Dimitris, Blaschko, Matthew

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Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks von Davari, MohammadReza, Belilovsky, Eugene

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Compressing the Input for CNNs with the First-Order Scattering Transform von Oyallon, Edouard, Belilovsky, Eugene, Zagoruyko, Sergey, Valko, Michal

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textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning von Nabli, Adel, Belilovsky, Eugene, Oyallon, Edouard

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Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning von Legate, Gwen, Caccia, Lucas, Belilovsky, Eugene

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