Bilaketaren emaitzak - Lucic, Mario

A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models nork Alabdulmohsin, Ibrahim, Lucic, Mario

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On Mutual Information Maximization for Representation Learning nork Tschannen, Michael, Djolonga, Josip, Rubenstein, Paul K., Gelly, Sylvain, Lucic, Mario

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Precision-Recall Curves Using Information Divergence Frontiers nork Djolonga, Josip, Lucic, Mario, Cuturi, Marco, Bachem, Olivier, Bousquet, Olivier, Gelly, Sylvain

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ViViT: A Video Vision Transformer nork Arnab, Anurag, Dehghani, Mostafa, Heigold, Georg, Sun, Chen, Lučić, Mario, Schmid, Cordelia

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A Commentary on the Unsupervised Learning of Disentangled Representations nork Locatello, Francesco, Bauer, Stefan, Lucic, Mario, Rätsch, Gunnar, Gelly, Sylvain, Schölkopf, Bernhard, Bachem, Olivier

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Representation learning from videos in-the-wild: An object-centric approach nork Romijnders, Rob, Mahendran, Aravindh, Tschannen, Michael, Djolonga, Josip, Ritter, Marvin, Houlsby, Neil, Lucic, Mario

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A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation nork Locatello, Francesco, Bauer, Stefan, Lucic, Mario, Rätsch, Gunnar, Gelly, Sylvain, Schölkopf, Bernhard, Bachem, Olivier

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PolyViT: Co-training Vision Transformers on Images, Videos and Audio nork Likhosherstov, Valerii, Arnab, Anurag, Choromanski, Krzysztof, Lucic, Mario, Tay, Yi, Weller, Adrian, Dehghani, Mostafa

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Audiovisual Masked Autoencoders nork Georgescu, Mariana-Iuliana, Fonseca, Eduardo, Ionescu, Radu Tudor, Lucic, Mario, Schmid, Cordelia, Arnab, Anurag

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Which Model to Transfer? Finding the Needle in the Growing Haystack nork Renggli, Cedric, Pinto, André Susano, Rimanic, Luka, Puigcerver, Joan, Riquelme, Carlos, Zhang, Ce, Lucic, Mario

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VCT: A Video Compression Transformer nork Mentzer, Fabian, Toderici, George, Minnen, David, Hwang, Sung-Jin, Caelles, Sergi, Lucic, Mario, Agustsson, Eirikur

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RUST: Latent Neural Scene Representations from Unposed Imagery nork Sajjadi, Mehdi S. M., Mahendran, Aravindh, Kipf, Thomas, Pot, Etienne, Duckworth, Daniel, Lucic, Mario, Greff, Klaus

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Self-Supervised Learning of Video-Induced Visual Invariances nork Tschannen, Michael, Djolonga, Josip, Ritter, Marvin, Mahendran, Aravindh, Zhai, Xiaohua, Houlsby, Neil, Gelly, Sylvain, Lucic, Mario

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Revisiting the Calibration of Modern Neural Networks nork Minderer, Matthias, Djolonga, Josip, Romijnders, Rob, Hubis, Frances, Zhai, Xiaohua, Houlsby, Neil, Tran, Dustin, Lucic, Mario

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End-to-End Spatio-Temporal Action Localisation with Video Transformers nork Gritsenko, Alexey, Xiong, Xuehan, Djolonga, Josip, Dehghani, Mostafa, Sun, Chen, Lučić, Mario, Schmid, Cordelia, Arnab, Anurag

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Video OWL-ViT: Temporally-consistent open-world localization in video nork Heigold, Georg, Minderer, Matthias, Gritsenko, Alexey, Bewley, Alex, Keysers, Daniel, Lučić, Mario, Yu, Fisher, Kipf, Thomas

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SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration nork Duckworth, Daniel, Hedman, Peter, Reiser, Christian, Zhizhin, Peter, Thibert, Jean-François, Lučić, Mario, Szeliski, Richard, Barron, Jonathan T.

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SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size nork Yung, Jessica, Romijnders, Rob, Kolesnikov, Alexander, Beyer, Lucas, Djolonga, Josip, Houlsby, Neil, Gelly, Sylvain, Lucic, Mario, Zhai, Xiaohua

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Beyond Transfer Learning: Co-finetuning for Action Localisation nork Arnab, Anurag, Xiong, Xuehan, Gritsenko, Alexey, Romijnders, Rob, Djolonga, Josip, Dehghani, Mostafa, Sun, Chen, Lučić, Mario, Schmid, Cordelia

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Object Scene Representation Transformer nork Sajjadi, Mehdi S. M., Duckworth, Daniel, Mahendran, Aravindh, van Steenkiste, Sjoerd, Pavetić, Filip, Lučić, Mario, Guibas, Leonidas J., Greff, Klaus, Kipf, Thomas

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