The goal of the Shared Visual Representations in Human and Machine Intelligence (SVRHM) workshop at NeurIPS 2019 is to discuss and disseminate relevant findings and parallels between the computational neuro/cognitive science and machine learning/artificial intelligence communities.

In the past few years, machine learning tools — especially deep neural networks — have permeated the vision/cognitive/neuro science communities to become the leading computational models that describe many cognitive tasks. Huge strides are also being made on the machine learning/artificial intelligence community with biologically inspired algorithms providing large efficiency gains in both computational and learning capabilities. However, many mysteries remain with regards to the alignment of human and machine perception, and there are cases where we see divergent rather than convergent representations. To resolve such questions, this workshop aims to bring fruitful discussions between scientists and engineers with multi-disciplinary backgrounds to review the recent progress in shared visual representations in both humans and machines, and in doing so identifying road-blocks and areas of interest to further accelerate the growth of both fields.

The workshop will include a series of talks and panel discussions from a diverse group of speakers from both industry and academia who will share their research at the intersection of humans and machines that pushes the field of vision forward. The aim of our Call for Papers is to bring together scientists and engineers to share their work in progress at the Poster Session that are applicable to the scope of the Workshop.

The following areas provide a sense of suitable topics for 2-4 page paper submissions:

• Biological inspiration and inductive bias in vision
• 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
• 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

We will be awarding an NVIDIA Titan RTX and an Oculus Quest as best paper and poster prize respectively at the conference.

Link to the workshop with additional details for the Call for Papers: https://www.svrhm2019.com/

Link to Paper workshop submission: https://cmt3.research.microsoft.com/SVRHM2019

Questions regarding the workshop should be sent to: [info@svrhm2019.com](mailto:info@svrhm2019.com)📷

Sincerely,

The Organizers

Arturo Deza, Joshua Peterson, Apruva Ratan Murty, Tom Griffiths

The SVRHM workshop is currently sponsored by NVIDIA, MIT’s Center from Brains, Minds and Machines (CBMM), National Science Foundation (NSF), Oculus and MIT’s Quest for Intelligence.