Channel: The Artificial Intelligence Channel

Category: Science & Technology

Tags: deep learningtransfer learningdriverless carsairoboticssingularitycvpr2018robotsmachine learningartificial intelligencedeepmindself-driving cars

Description: June 20th, 2018 CVPR2018 "Do visual tasks have a relationship, or are they unrelated? For instance, could having surface normals simplify estimating the depth of an image? Intuition answers these questions positively, implying existence of a "structure" among visual tasks. Knowing this structure has notable values; it is the concept underlying transfer learning and provides a principled way for identifying redundancies across tasks, e.g., to seamlessly reuse supervision among related tasks or solve many tasks in one system without piling up the complexity. " taskonomy.stanford.edu Amir R. Zamir, Alexander Sax*, William B. Shen* Leonidas Guibas, Jitendra Malik, Silvio Savarese