Shared Visual Representations in Human and Machine Intelligence (SVRHM)
2021 NeurIPS Workshop | Dec. 13, 2021 | Virtual | Workshop Website
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 [Currently being updated!]
- Chaz Firestone - JHU, Department of Psychology & Department of Philosophy
- 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
- 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)
- Xavi Boix - MIT, Computer Science and Artificial Intelligence Lab (CSAIL)
- Wieland Brendel - Universität Tübingen & Layer 7AI, International Max Planck Research School for Intelligent Systems
- Stéphane Deny - Facebook AI Research & Aalto Univeristy
- Kohitij Kar - MIT, McGovern Institute for Brain Research
- Zoya Bylinskii - Adobe Research, Creative Intelligence Lab
- Arturo Deza - MIT, Center for Brains, Minds and Machines
- Joshua Peterson - Princeton University, Department of Computer Science
- Apurva Ratan Murty - MIT, McGovern Institute for Brain Research
- Thomas Griffiths - Princeton University, Departments of Computer Science and Psychology
- MIT Center for Brains, Minds and Machines (CBMM)
- National Science Foundation (NSF)
- Facebook Reality Labs (FRL)