A Theory of AI
Seminars
Neural Implicit Representations for 3D Vision
Andreas Geiger is professor at the University of Tübingen and group leader at the Max Planck Institute for Intelligent Systems. Prior to this, he was a visiting professor at...
Practical Theory and Neural Network Models
Michael W. Mahoney is at the University of California at Berkeley in the Department of Statistics and at the International Computer Science Institute (ICSI). He is also a faculty...
New vision architectures beyond CNNs
Alexander Kolesnikov is a researcher in the Google Brain team. His current research interests include visual representation learning and data-efficient adaptation algorithms. Previously, Alexander obtained a MSc degree in...
The Importance of Motion Perception in Visual Recognition
Roman Pflugfelder is scientist at the AIT Austrian Institute of Technology and lecturer at TU Wien. He received in 2002 a MSc degree in Informatics at TU Wien and...
Which one is more important: more parameters or more computation?
Jason Weston is a research scientist at Facebook, New York and a Visiting Research Professor at New York University. He earned his PhD in machine learning at Royal Holloway,...
Building Agile Machine Learning Models
Richard Zemel is a Professor and Machine Learning Research Chair in the Department of Computer Science at the University of Toronto. He will be joining the faculty in the...
Embedding and Language Modeling for Effective Text Mining
Jiawei Han is Michael Aiken Chair Professor in the Department of Computer Science, University of Illinois at Urbana-Champaign. He received ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical...
The Random Neural Network and its Application to Cognitive Packet Networks
Erol Gelenbe, FACM, FIEEE, FRSS, FIET, FIFIP is Professor in the Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences, Honorary Professor University of Electronic Science...
Some New Designs of Convolutional and Recurrent Networks
Fuxin Li is currently a professor in the School of Electrical Engineering and Computer Science at Oregon State University. Before that, he has held research positions in University of...
Large Associative Memory Problem in Neurobiology and Machine Learning
Dmitry Krotov, PhD, is a research staff member at the MIT-IBM Watson AI Lab and IBM Research Center in Cambridge, MA. He received his PhD in Physics from Princeton...