Shared Visual Representations in Human & Machine Intelligence
2021 NeurIPS Workshop — December 13, 2021 (Virtual).
The goal of the 3rd Shared Visual Representations in Human and Machine Intelligence (SVRHM) workshop is to disseminate relevant, parallel findings in the fields of computational neuroscience, psychology, and cognitive science that may inform modern machine learning methods.
In the past few years, machine learning methods—especially deep neural networks—have widely permeated the vision science, cognitive science, and neuroscience communities. As a result, scientific modeling in these fields has greatly benefited, producing a swath of potentially critical new insights into human learning and intelligence, which remains the gold standard for many tasks. However, the machine learning community has been largely unaware of these cross-disciplinary insights and analytical tools, which may help to solve many of the current problems that ML theorists and engineers face today (e.g., adversarial attacks, compression, continual learning, and self-supervised learning).
Thus we propose to invite leading cognitive scientists with strong computational backgrounds to disseminate their findings to the machine learning community with the hope of closing the loop by nourishing new ideas and creating cross-disciplinary collaborations.
Please see the About page for a more detailed description of the motivation of the workshop.
Invited Speakers & Panelists
Yalda Mohsenzadeh 🇮🇷
Western University
Department of Computer Science & Brain and Mind Institute
Ruben Coen-Cagli 🇮🇹
Albert Einstein College of Medicine
Department of Systems and Computational Biology
Zoya Bylinskii 🇨🇦
Adobe Research
Creative Intelligence Lab
Gemma Roig 🇪🇸
Goethe University Frankfurt
Department of Computer Science
Yukiyasu Kamitani 🇯🇵
Kyoto University & ATR
Department of Information Sciences & Technologies
Maryam Vaziri-Pashkam 🇮🇷
National Institute of Health
Laboratory of Brain and Cognition
Michelle Greene 🇺🇸
Bates College
Department of Neuroscience
Roland Fleming 🇩🇪/🇬🇧
Giessen University
Department of Psychology
Ruth Rosenholtz 🇺🇸
MIT
Computer Science and Artificial Intelligence Lab (CSAIL) & Brain and Cognitive Sciences Department (BCS)
Xavier Boix 🇪🇸/Catalonia
MIT
Brain and Cognitive Sciences Department
Wieland Brendel 🇩🇪
Universität Tübingen & Layer 7AI
International Max Planck Research School for Intelligent Systems
Stéphane Deny 🇫🇷 /🇺🇸/🇫🇮/
Facebook AI Research & Aalto University
Kohitij Kar 🇮🇳
MIT
McGovern Institute for Brain Research
Tiago Marques 🇵🇹
MIT
McGovern Institute for Brain Research
Chaz Firestone 🇨🇦
Johns Hopkins University
Department of Psychological and Brain Sciences & Department of Philosophy
Donsuk Lee 🇰🇷
Indiana University
Informatics and Cognitive Sciences Department
Andy Keller 🇺🇸
University of Amsterdam
Machine Learning Department
Bhavin Choksi 🇮🇳
French National Center for Scientific Research (CNRS)
Brain and Cognition Research Center (CerCO)
Tushar Arora 🇮🇳
University of Tokyo
International Research Center for Neurointelligence (IRCN)
Organizers
Arturo Deza 🇵🇪
MIT
Center for Brains, Minds and Machines
Apurva Ratan Murty 🇮🇳
MIT
McGovern Institute for Brain Research
Thomas Griffiths 🇺🇸/🇬🇧/🇦🇺
Princeton University
Departments of Computer Science and Psychology
Sponsors
MIT Center for Brains, Minds and Machines (CBMM)
National Science Foundation (NSF)
NVIDIA
Facebook Reality Labs (FRL)
MIT Quest for Intelligence
Brain Score Initiative
Adobe Research