Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder von Garrido, Quentin, Damrich, Sebastian, Jäger, Alexander, Cerletti, Dario, Claassen, Manfred, Najman, Laurent, Hamprecht, Fred A

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Self-supervised learning of Split Invariant Equivariant representations von Garrido, Quentin, Najman, Laurent, Lecun, Yann

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On the duality between contrastive and non-contrastive self-supervised learning von Garrido, Quentin, Chen, Yubei, Bardes, Adrien, Najman, Laurent, Lecun, Yann

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UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling von Al-Tahan, Haider, Garrido, Quentin, Balestriero, Randall, Bouchacourt, Diane, Hazirbas, Caner, Ibrahim, Mark

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The Robustness Limits of SoTA Vision Models to Natural Variation von Ibrahim, Mark, Garrido, Quentin, Morcos, Ari, Bouchacourt, Diane

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RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank von Garrido, Quentin, Balestriero, Randall, Najman, Laurent, Lecun, Yann

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Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning von Bordes, Florian, Balestriero, Randall, Garrido, Quentin, Bardes, Adrien, Vincent, Pascal

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Learning and Leveraging World Models in Visual Representation Learning von Garrido, Quentin, Assran, Mahmoud, Ballas, Nicolas, Bardes, Adrien, Najman, Laurent, LeCun, Yann

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Revisiting Feature Prediction for Learning Visual Representations from Video von Bardes, Adrien, Garrido, Quentin, Ponce, Jean, Chen, Xinlei, Rabbat, Michael, LeCun, Yann, Assran, Mahmoud, Ballas, Nicolas

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Self-Supervised Learning with Lie Symmetries for Partial Differential Equations von Mialon, Grégoire, Garrido, Quentin, Lawrence, Hannah, Rehman, Danyal, LeCun, Yann, Kiani, Bobak T

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Self-supervised learning of Split Invariant Equivariant representations von Garrido, Quentin, Najman, Laurent, Lecun, Yann

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RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank von Garrido, Quentin, Balestriero, Randall, Najman, Laurent, Lecun, Yann

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Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning von Bordes, Florian, Balestriero, Randall, Garrido, Quentin, Bardes, Adrien, Vincent, Pascal

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Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder von Garrido, Quentin, Damrich, Sebastian, Jäger, Alexander, Cerletti, Dario, Claassen, Manfred, Najman, Laurent, Hamprecht, Fred

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A Cookbook of Self-Supervised Learning von Balestriero, Randall, Ibrahim, Mark, Sobal, Vlad, Morcos, Ari, Shekhar, Shashank, Goldstein, Tom, Bordes, Florian, Bardes, Adrien, Mialon, Gregoire, Tian, Yuandong, Schwarzschild, Avi, Wilson, Andrew Gordon, Geiping, Jonas, Garrido, Quentin, Fernandez, Pierre, Bar, Amir, Pirsiavash, Hamed, LeCun, Yann, Goldblum, Micah

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UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling von Al-Tahan, Haider, Garrido, Quentin, Balestriero, Randall, Bouchacourt, Diane, Caner Hazirbas, Ibrahim, Mark

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The Robustness Limits of SoTA Vision Models to Natural Variation von Ibrahim, Mark, Garrido, Quentin, Morcos, Ari, Bouchacourt, Diane

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Learning and Leveraging World Models in Visual Representation Learning von Garrido, Quentin, Assran, Mahmoud, Ballas, Nicolas, Bardes, Adrien, Najman, Laurent, LeCun, Yann

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Revisiting Feature Prediction for Learning Visual Representations from Video von Bardes, Adrien, Garrido, Quentin, Ponce, Jean, Chen, Xinlei, Rabbat, Michael, LeCun, Yann, Assran, Mahmoud, Ballas, Nicolas

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Self-Supervised Learning with Lie Symmetries for Partial Differential Equations von Mialon, Grégoire, Garrido, Quentin, Hannah, Lawrence, Rehman, Danyal, LeCun, Yann, Kiani, Bobak T

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