[visionlist] [Call for Papers] Shared Visual Representations in Human and Machine Intelligence (SVRHM) NeurIPS 2019 workshop

Arturo Deza arturodeza at gmail.com
Tue Aug 13 17:20:36 -04 2019

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


   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:

Link to Paper workshop submission:

Questions regarding the workshop should be sent to: info at svrhm2019.com


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.
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