Call for Papers

The following areas provide a sense of suitable topics for paper submissions:

  • Biological inspiration and inductive bias

  • Human-relevant strategies for robustness and generalization

  • New datasets (e.g., for comparing humans/animals and machines)

  • Biologically-driven self-supervision

  • Perceptual invariance and metamerism

  • Biologically-informed strategies to mitigate adversarial vulnerability

  • Foveation, active perception, and attention models

  • Intuitive physics

  • Biologically inspired Generative Models

  • Perceptual and cognitive robustness

  • Nuances and noise in perceptual and cognitive Systems

  • Creative problem-solving

  • Differences and similarities between humans and deep neural networks

  • Canonical computations in biological and artificial systems

  • Alternative architectures for deep neural networks

  • Reverse engineering of the human visual system via deep neural networks

  • New: Biologically-inspired Applications to Augmented and/or Virtual Reality

  • New: Understanding of novel hand-engineered models e.g. Transformers and Capsule Networks

  • New: Computational Aesthetics/Memorability/Humor/Virality

All submissions will be private and anonymous. Papers should be between 4-5 pages (excluding references), and will be formatted in NeurIPS style anonymously. Accepted papers will be presented as posters during the workshop, and will be posted on the workshop website if the authors desire. Authors may optionally add appendixes in their submitted paper. The final submission including main paper, references and appendix should not exceed 15 pages. Supplementary Materials uploads are to only be used optionally for extra videos/code/data/figures and should be uploaded separately in the OpenReview submission website.

Link to Paper submission: https://openreview.net/group?id=NeurIPS.cc/2021/Workshop/SVRHM

Submission Window Begins: August 31st, 2021.

Submission Window Ends: October 8th, 2021.

Download SVRHM tex files and template here: https://bit.ly/3AZCHw1

*Authors of accepted papers will have the option to add one additional page post-acceptance for the final version of their paper.

Policy on Dual-Submissions: Authors are only allowed to submit manuscripts that have not already been accepted by the day of the submission deadline (October 8th, 2021). Dual submission to other Archival and Non-Archival venues is allowed. Dual submission to ICLR and/or other journals is allowed as long as the have not been accepted yet and are still currently under review.

All submitted papers will be evaluated using the following standards:

  1. Novelty of the idea with regards to human perception and cognition and how it may be relevant to modern machine learning.

  2. Rigor in preliminary theoretical contribution and/or empirical finding.

  3. Relevance at the intersection of the fields of machine learning and psychology.

Best Paper Awards & Prizes

The 4 highest scoring papers will give Recorded Oral Presentations to maximize the outreach and impact of the author's work.

NVIDIA Graphics Card (RTX/TITAN V)

Best Paper Diversity in AI Award

Oculus Quest 2

Best Paper Award

Reviewing Committee (Currently being updated from SVRHM 2020):

Vanessa D'Amario (MIT - Center for Brains, Minds and Machines)

NC Puneeth (UC Santa Barbara - Department of Psychology)

Colin Conwell (Harvard - Department of Psychology)

RT Pramod (MIT - McGovern Institute for Brain Research)

Yena Han (MIT - Center for Brains, Minds and Machines)

Daniel Janini (Harvard - Department of Psychology)

Tiago Marques (MIT- McGovern Institute for Brain Research)

Nicole Han (UC Santa Barbara - Department of Psychology)

Akshay Rangamani (MIT - Center for Brains, Minds and Machines)

Andrzej Banburski (MIT- Center for Brains, Minds and Machines)

Qianli Liao (MIT- Center for Brains, Minds and Machines)

Senthil Purushwalkam (CMU - Department of Computer Science)

Sophia Sanborn (UC Berkeley - Redwood Center for Theoretical Neuroscience)

Judy Borowski (University of Tübingen & International Max Planck Research School for Intelligent Systems)

Alex Berardino (Apple - Diplays and Imaging Technology)

Christina Funke (University of Tübingen & International Max Planck Research School for Intelligent Systems)

Katherine Hermann (Stanford University - Department of Psychology)

Jasmine Collins (UC Berkeley - Redwood Center for Theoretical Neuroscience)

Karan Grewal (Numenta)

Jenelle Feather (MIT - Center for Brains, Minds and Machines)

Ekta Prashnani (NVIDIA Research)

Robert Geirhos (University of Tübingen & International Max Planck Research School for Intelligent Systems)

Kate Storrs (Justus Liebig University Giessen - Department of Experimental Psychology)

Tal Golan (Columbia University - Zuckerman Institute)

Tom White (Victoria University of Wellington - School of Design)

Alex Hernandez-Garcia (University of Osnabrück - Institute of Cognitive Science)

Simon Kornblith (Google Brain)

Emilie Josephs (Harvard University - Department of Psychology)

Xue-Xin Wei (UT Austin- Department of Neuroscience & Psychology)

Caterina Magri (Johns Hopkins University - Department of Psychology)

Stéphane Deny (Facebook Artificial Intelligence Research)

Tom Wallis (Amazon Research)

Yalda Mohsenzadeh (University of Western Ontario - Department of Computer Science & Brain and Mind Institute)

Jonathon Hare (University of Southampton - School of Electronics and Computer Science)

Ethan Harris (University of Southampton - School of Electronics and Computer Science)

Nikhil Parthasarathy (NYU - Center for Neural Science)

Santiago Cadena (University of Tübingen & International Max Planck Research School for Intelligent Systems)

Yubei Chen (UC Berkeley - Redwood Center for Theoretical Neuroscience)

Anton Kaplanyan (Facebook Reality Labs)

Anjul Patney (Facebook Reality Labs)

Josue Ortega Caro (Baylor College of Medicine)

Johannes Balle (Google Machine Perception)

Pouya Bashivan (McGill University - Department of Physiology)

Erin Grant (UC Berkeley - Berkeley Artificial Intelligence Research (BAIR))

Bernhard Egger (MIT- Center for Brains, Minds and Machines)

Alessandro Achille (Amazon Research)

Drew Linsley (Brown University -Department of Cognitive, Linguistic and Psychological Sciences)

Kshitij Dwivedi (Goethe University - Department of Computer Science & Free University Berlin Department of Education and Psychology)

Fabian Soto (Florida International University - Department of Psychology)

Lynn Sörensen (University of Amsterdam - Department of Psychology)

Claudio Michaelis (University of Tübingen & International Max Planck Research School for Intelligent Systems)

Zahra Kadkhodaie (NYU - Data Science)

Will Xiao (Harvard University - Department of Neurobiology)

Matt Peterson (UC Santa Barbara - The Mellichamp Initiative in Mind & Machine Intelligence)

Arash Akbarinia (Justus Liebig University Giessen)

Alban Flachot (Justus Liebig University Giessen)

Rama Vedantam (Facebook Artificial Intelligence Research)

Dipan Pal (Carnegie Mellon University - Department of Computer Science)

Chaitanya Ryali (University of California, San Diego - Department of Computer Science & Engineering)

Ella Batty (Harvard Medical School)

Adrien Doerig (École Polytechnique Fédérale de Lausanne)

Michael Chang (UC Berkeley - Berkeley Artificial Intelligence Research (BAIR))

Shahab Bakhtiari (McGill - MILA Montréal )