Towards Few-Annotation Learning in Computer Vision : Application to Image Classification and Object Detection tasks von Bouniot, Quentin

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Transcriptomic Profiling of the Adaptive and Innate Immune Responses of Atlantic Salmon to Renibacterium salmoninarum Infection von Eslamloo, Khalil, Caballero-Solares, Albert, Inkpen, Sabrina M, Emam, Mohamed, Kumar, Surendra, Bouniot, Camila, Avendaño-Herrera, Ruben, Jakob, Eva, Rise, Matthew L

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Improving Few-Shot Learning Through Multi-task Representation Learning Theory von Bouniot, Quentin, Redko, Ievgen, Audigier, Romaric, Loesch, Angélique, Habrard, Amaury

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Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks von Bouniot, Quentin

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Experiencia de la pandemia por SARS-CoV-2 en un centro hospitalario de alta complejidad en Chile von Giglio, Andrés, Astudillo, Patricio, Naser, Rodrigo, Campo, José Del, Bouniot, Paulina, Ramírez, Paulina, García, Francisca, Echavarri, Sylvia, Arriagada, Paula, Hoffmann, Isabel

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Epidemiological profile of patients with COVID-19 admitted to a tertiary care public hospital von Giglio, Andrés, Astudillo, Patricio, Naser, Rodrigo, Campo, José Del, Bouniot, Paulina, Ramírez, Paulina, García, Francisca, Echavarri, Sylvia, Arriagada, Paula, Hoffmann, Isabel

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Trends in pharmacists' medication order review in French hospitals from 2006 to 2009: analysis of pharmacists' interventions from the Act-IP© website observatory von Bedouch, P., Sylvoz, N., Charpiat, B., Juste, M., Roubille, R., Rose, F. -X., Bosson, J.-L., Conort, O., Allenet, B.

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Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks von Bouniot, Quentin

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Characteristics of pharmacist’s interventions triggered by prescribing errors related to computerised physician order entry in French hospitals: a cross-sectional observational stu... von Charpiat, Bruno, Vermorel, Céline, Conort, Ornella, Bedouch, Pierrick, Abkhtaoui-Couriat, S., Andrieu, C., Armoiry, X., Armoiry, E., Attivi, D., Belhout, M., Benhaoua, S., Beny, J., Berthet, S., Blandin, A.C., Blondel, E., Bouchand, F., Bourdelin, M., Bourguignon, L., Burdin, J., Buyse, M., Cabaret, E., Cabelguenne, D., Carli, D., Carpentier, I., Chambrey, E., Chantel, S., Charhon, N., Charpiat, B., Chaumont, M., Clerc, B., Colomb, R., Contreras, R., Crepin, S., Cuoq, A., Decourcelle, C., Dietrich, L., Dos-Reis, J., Escofier, L., Fare, S., Fillon, J., Fonteneau, A., Fouquet, A., Gadot, A., Galtier, H., Garreau, I., Gerard, C., Gervais, R., GraguebChatti, I., Grass, A., Gremeau, I., Guenaire, C., Guerin, F., Henry, A., Herbin, G., Herment, N., Juste, M., Kaczmarek, A.S., Labrosse, H., Laillier, C., Laurent, M., Le Duff, M., Lefebvre, M., Lepont-Gilardi, H., Levillain, J.P., Liguori, G., Lupo, C., Machon, J., Mangerel, K., Martelet, S., Matanza, D., Mermet, V., Mouchoux, C., Orly, A., Oufella, A., Paillole, I., Parnet, L., Paysant, M., Perrin, S., Piney, D., Pohyer, A., Porot, C., Pouzoulet, J., Prevost, E., Ranchon, F., Rave, M., Remonnay, C., Robelet, A., Roche, S., Sambarino, A., Sankhare, D., Scholler, J., Stamm, C., Thery, H., Thiriat, N., Turci, C., Vauvarin, N., Viard, D., Vignand, C., Vonna, P., Wereszczynski, N.

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Experiencia de la pandemia por SARS-CoV-2 en un centro hospitalario de alta complejidad en Chile von Giglio, Andrés, Astudillo, Patricio, Naser, Rodrigo, Campo, José Del, Bouniot, Paulina, Ramírez, Paulina, García, Francisca, Echavarri, Sylvia, Arriagada, Paula, Hoffmann, Isabel

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Tailoring Mixup to Data for Calibration von Bouniot, Quentin, Mozharovskyi, Pavlo, d'Alché-Buc, Florence

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Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ? von Bouniot, Quentin, Loesch, Angélique, Audigier, Romaric, Habrard, Amaury

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Proposal-Contrastive Pretraining for Object Detection from Fewer Data von Bouniot, Quentin, Audigier, Romaric, Loesch, Angélique, Habrard, Amaury

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Optimal Transport as a Defense Against Adversarial Attacks von Bouniot, Quentin, Audigier, Romaric, Loesch, Angélique

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Restyling Unsupervised Concept Based Interpretable Networks with Generative Models von Parekh, Jayneel, Bouniot, Quentin, Mozharovskyi, Pavlo, Newson, Alasdair, d'Alché-Buc, Florence

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Tailoring Mixup to Data for Calibration von Bouniot, Quentin, Mozharovskyi, Pavlo, d'Alché-Buc, Florence

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From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport von Bouniot, Quentin, Redko, Ievgen, Mallasto, Anton, Laclau, Charlotte, Arndt, Karol, Struckmeier, Oliver, Heinonen, Markus, Kyrki, Ville, Kaski, Samuel

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Improving Few-Shot Learning through Multi-task Representation Learning Theory von Bouniot, Quentin, Redko, Ievgen, Audigier, Romaric, Loesch, Angélique, Habrard, Amaury

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Proposal-Contrastive Pretraining for Object Detection from Fewer Data von Bouniot, Quentin, Audigier, Romaric, Loesch, Angélique, Habrard, Amaury

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Restyling Unsupervised Concept Based Interpretable Networks with Generative Models von Parekh, Jayneel, Bouniot, Quentin, Mozharovskyi, Pavlo, Newson, Alasdair, d'Alché-Buc, Florence

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