Shared Visual Representations in Human & Machine Intelligence

2019 NeurIPS Workshop @ Vancouver Convention Center. Vancouver, Canada

The goal of the 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 unsupervised 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

Olivier Henaff

Google DeepMind

Irina Higgins

Google DeepMind

Bill Freeman

MIT | Google

Ruairidh Battleday


Will Xiao


Erin Grant

UC Berkeley

James DiCarlo


Mike Tarr


Talia Konkle


Nikolaus Kriegeskorte


Andrei Barbu


Nadine Chang


Nikhil Parthasarathy


Sophia Sanborn

UC Berkeley

Matthias Bethge

Universität Tübingen

Eero Simoncelli



Arturo Deza

Harvard University

Department of Psychology

Joshua Peterson

Princeton University

Department of Computer Science

Apurva Ratan Murty


McGovern Institute for Brain Research

Thomas Griffiths

Princeton University

Departments of Computer Science and Psychology

Travel Awardees

Rising Stars Travel Grant recipients (List of young promising graduate/undergraduate* researchers who will be attending the workshop and have had their Registration fees waived)

Judy Borowski (Machine Learning @ Universität Tübingen)

Nikhil Parthasarathy (Neural Science @ NYU)

Jacob Prince* (Psychology @ CMU & Harvard)

Christian Bueno (Mathematics @ UC Santa Barbara)

DeepMind Travel Grant recipients

Judy Borowski (Universität Tübingen)

Chaitanya Ryali (UC San Diego)

Apple Travel Grant recipients

Sophia Sanborn (UC Berkeley)

Ruairidh Battleday (Princeton)

See the Schedule page for the full list of confirmed speakers and other events.


Donation of GeForce Titan RTX Graphics Card for Best Paper Award

MIT Center for Brains, Minds and Machines (CBMM)

National Science Foundation (NSF)

Donation of an Oculus Quest for Best Poster Award

MIT Quest for Intelligence

Google DeepMind

Princeton's Center for Statistics and Machine Learning (CSML)


This material/activity is funded, in full or in part, by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF-1231216.Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.