Все публикации

1:13:38

[EEML'24] Martin Vechev - (Provable) Robustness of Neural Networks

1:04:22

[EEML'24] Ivana Malenica - Introduction to Causal Inference

1:10:33

[EEML'24] Vladimir Gligorijević - Accelerating Drug Discovery & Development: AI in Therapeutics

0:48:55

[EEML'24] Velibor Ilić - Active Learning

1:46:40

[EEML'24] Răzvan Pașcanu - Advanced Architectures

0:13:07

[EEML'24] Iulia Duță & Vladimir Viktor Mirjanić - Geometric Deep Learning Tutorial

0:25:31

[EEML'24] Tudor Berariu - UiPath Keynote

0:11:43

[EEML'24] Krstan Kešelj - Machine Learning Driven Wheat Yield Prediction

1:09:12

[EEML'24] Michael Bronstein - Geometric Deep Learning

0:31:24

[EEML'24] Matěj Míček - Introduction to Venture Capital

1:33:21

[EEML'24] Kako ideje postaju stvarnost u Veštačkoj Inteligenciji? Lične priče o karijernom razvoju

1:12:25

[EEML'24] Startup Panel (Moderated by Maciek Gnutek)

0:23:08

[EEML'24] Andrei Manolache - Bitdefender Keynote

0:16:23

[EEML'24] Anastasija Ilić & Ioana Bica - Vision Language Model Tutorial

1:08:33

[EEML'24] Çağlar Gülçehre - An evolution of foundation model architectures

1:16:34

[EEML'24] Jovana Mitrović - Vision Language Models

1:09:43

[EEML'24] Chris Dyer - Fine-tuning Language Models

1:15:46

[EEML'24] Yee Whye Teh - Bayesian Deep Learning

0:11:48

[EEML'24] Andreea Deac & Ognjen Milinković - Reinforcement Learning Tutorial

1:10:25

[EEML'24] Aleksandra Faust - Autonomous Agents in the Era of Large Language Models

1:23:34

[EEML'24] Hamza Merzić - Introduction to Deep Reinforcement Learning

1:13:14

[EEML'24] Nenad Tomašev - AI for Good

1:04:08

[EEML'24] Sander Dieleman - Generative modelling through iterative refinement

1:39:44

[EEML'24] Alfredo Canziani - Foundations of Deep Learning