إيزابيل فاليرا

Calibration in One Go: Jointly Learning Accurate and Calibrated Neural Networks

Neural networks (NNs), while highly flexible and versatile, are often poorly calibrated. Post-hoc calibration methods adjust the outputs of an already trained model using a separate calibration dataset and additional calibration parameters. This process adds overhead that requires separate optimization of the calibrato …

التنبؤ الأدائي مع التسميات الانتقائية

تعلم جبهات باريتو الثابتة بالانتشار الخلفي الأحادي المرور

┘å┘éϬÏ▒Ï¡ MOSEL (Ϻ┘äϬÏ╣┘ä┘à Ϻ┘ä┘â┘üÏñ ┘äÏ│ϬϺ┘â┘äÏ¿Ï▒Ï║ ┘àϬÏ╣ϻϻ Ϻ┘äÏú┘çϻϺ┘ü)Ïî ┘ê┘ç┘ê ÏÑÏÀϺÏ▒ ┘äϬϡÏ│┘è┘å ┘àϬÏ╣ϻϻ Ϻ┘äÏú┘çϻϺ┘ü ┘äϺϡ┘é (a posteriori) ┘ü┘è Ϻ┘äÏ┤Ï¿┘âϺϬ Ϻ┘äÏ╣ÏÁÏ¿┘èÏ® Ϻ┘äÏ╣┘à┘è┘éÏ®Ïî ┘èÏ│ϬÏ╣┘èÏ» ϼϿ┘çÏ® ┘âϺ┘à┘äÏ® ┘à┘å Ï¡┘ä┘ê┘ä ϿϺÏ▒┘èϬ┘ê Ϻ┘äϽϺϿϬϮ ϿϺ┘ä┘â┘ä┘üÏ® Ϻ┘äÏ¡┘êÏ …