Pregled bibliografske jedinice broj: 1236838
Applications of generative approaches for artificial intelligence
Applications of generative approaches for artificial intelligence // AI2Future 2022
Zagreb, Hrvatska, 2022. (pozvano predavanje, nije recenziran, pp prezentacija, stručni)
CROSBI ID: 1236838 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Applications of generative approaches for artificial intelligence
Autori
Siniša Šegvić
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, pp prezentacija, stručni
Skup
AI2Future 2022
Mjesto i datum
Zagreb, Hrvatska, 13-14.10.2022
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
computer vision
Sažetak
Most machine learning applications leverage discriminative models and supervised learning. However, discriminative models are unable to generate new content or measure plausibility of the data. Additionally, they are prone to learning simple decision rules which perform well on standard benchmarks but fail in real-world scenarios. Generative approaches are a promising approach towards alleviating these problems due to ability to learn complementary information from the training dataset. We are especially interested in a class of generative approaches that optimizes the data likelihood due to resistance to mode collapse. This presentation shall introduce prominent generative approaches and provide an overview of application fields in computer vision and natural language processing.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
--IP-2020-02-5851 - Napredna gusta predikcija za računalni vid (ADEPT) (Šegvić, Siniša) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Siniša Šegvić
(autor)