[Comp-neuro] [Call for Papers] Shared Visual Representations in Human and Machine Intelligence (SVRHM) NeurIPS 2020 Workshop

SVRHM Workshop svrhm2020 at gmail.com
Tue Sep 22 03:24:44 CEST 2020


The goal of the Second Workshop on Shared Visual Representations in Human
and Machine Intelligence (SVRHM) at NeurIPS 2020 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 in 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. For the
first time this year, the 4 highest scoring papers will also be awarded an
Oral Presentation entry in the program.

The following areas provide a sense of suitable topics for 4-5 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
   - 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


We will be awarding a new *NVIDIA Titan RTX* *3080* as the *Diversity in AI
Best Paper Award* and an *Oculus Quest* *2* as the *Breakthrough in
Biologically-Driven Generative Models Award* respectively at the conference.

Link to the workshop with additional details for the Call for Papers:

https://www.svrhm.com

https://www.svrhm.com/call-for-papers


Link to Paper workshop submission:
https://openreview.net/group?id=NeurIPS.cc/2020/Workshop/SVRHM


The submission deadline is October 4th, 2020.


Questions regarding the workshop should be sent to: svrhm2020 at gmail.com

Sincerely,

The Organizers

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

The SVRHM workshop is currently sponsored by MIT’s Center from Brains,
Minds and Machines (CBMM), National Science Foundation (NSF), NVIDIA,
Facebook Reality Labs (Oculus) and MIT’s Quest for Intelligence.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.tnb.ua.ac.be/pipermail/comp-neuro/attachments/20200921/7c006676/attachment.html>


More information about the Comp-neuro mailing list