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Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters.

, , и . CVPR, стр. 1043-1050. IEEE Computer Society, (2014)

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Daniel

Daniel

Daniel Wied

Zivilprozessuale Qualifikationsprobleme im Spannungsfeld von Vertrag und Delikt: ein Beitrag zur Auslegung nationalen Zivilprozessrechts in europäischer Perspektive. Uni Regensburg, (2009)

Daniel Dirkmann

In-vitro-Untersuchungen zum Effekt von Hypothermie und Azidose auf Variablen thrombelastometrischer Messungen der Blutgerinnung. Uni Duisburg-Essen, (2009)

Daniel Stanze

Systematische Analyse von Rezeptoren und Effektormechanismen der pulmonalen angeborenen Immunität. Uni Marburg, (2009)
 

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Flexible Priors for Exemplar-based Clustering, , и . CoRR, (2012)Batch Policy Gradient Methods for Improving Neural Conversation Models., , , , и . ICLR (Poster), OpenReview.net, (2017)Revisiting uncertainty in graph cut solutions., и . CVPR, стр. 2440-2447. IEEE Computer Society, (2012)Flexible Priors for Exemplar-based Clustering., , и . UAI, стр. 537-545. AUAI Press, (2008)Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions., , , , и . ICLR, OpenReview.net, (2023)Empirical Minimum Bayes Risk Prediction., , , и . IEEE Trans. Pattern Anal. Mach. Intell., 39 (1): 75-86 (2017)Learning Structured Models with the AUC Loss and Its Generalizations., , , и . AISTATS, том 33 из JMLR Workshop and Conference Proceedings, стр. 841-849. JMLR.org, (2014)Using Combinatorial Optimization within Max-Product Belief Propagation., , , и . NIPS, стр. 369-376. MIT Press, (2006)Learning to Pass Expectation Propagation Messages., , и . NIPS, стр. 3219-3227. (2013)PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair., , , , , , и . NeurIPS, стр. 23089-23101. (2021)