Shared Visual Representations in Human and Machine Intelligence (SVRHM) workshop
2019 NeurIPS Workshop, Vancouver, Canada
Dec. 13, 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.
Link to the workshop with additional details including list of Accepted Papers: https://www.svrhm2019.com/
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, MIT’s Quest for Intelligence, Google DeepMind, Princeton’s Center for Statistics and Machine Learning (CSML), and Apple.
Link to schedule: https://www.svrhm2019.com/schedule)
Links to videos:
- Session 1: https://slideslive.com/38921934/shared-visual-representations-in-human-and-machine-intelligence-1
- Session 2: https://slideslive.com/38921936/shared-visual-representations-in-human-and-machine-intelligence-2
- Session 3: https://slideslive.com/38921937/shared-visual-representations-in-human-and-machine-intelligence-3