Embedded thumbnail for Module 2 Research Update
Module 2 Research Update
Recorded:
Feb 16, 2021
Uploaded:
February 17, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Gabriel Kreiman, Mengmi Zhang, Will Xiao
Speaker(s):
Jie Zheng
Abstracts: Speaker: Mengmi Zhang
Title: The combination of eccentricity, bottom-up, and top-down cues explain conjunction and asymmetric visual search
Abstract: Visual search requires complex interactions between visual processing, eye...
Embedded thumbnail for Modular Learning and Reasoning on ARC
Modular Learning and Reasoning on ARC
Recorded:
Feb 9, 2021
Uploaded:
February 11, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Andrzej Banburski, Simon Alford
Abstract: Current machine learning algorithms are highly specialized to whatever it is they are meant to do — e.g. playing chess, picking up objects, or object recognition. How can we extend this to a system that could solve a wide range of problems...
Embedded thumbnail for Join the Reach Out Science Communication Challenge!
Join the Reach Out Science Communication Challenge!
Recorded:
Jan 6, 2021
Uploaded:
January 7, 2021
Speaker(s):
Museum of Science
Calling All NSF Science and Technology Center Students and Postdocs! Sharpen Your Skills, Share Your Story Would you like to share your science with a wider audience? Brush up your storytelling skills? Ace your virtual presentation game? And... are...
Embedded thumbnail for Adversarial examples for humans
Adversarial examples for humans
Recorded:
Dec 12, 2020
Uploaded:
January 4, 2021
Part of
All Captioned Videos, SVRHM Workshop 2020
Speaker(s):
Gamaleldin Elsayed, Google Brain
Embedded thumbnail for CBMM Season's Greetings 2020
CBMM Season's Greetings 2020
Recorded:
Dec 21, 2020
Uploaded:
December 21, 2020
Embedded thumbnail for Characterizing models of visual intelligence
Characterizing models of visual intelligence
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
CBMM Speaker(s):
David Mayo
Embedded thumbnail for It's about time. Modelling human visual inference with deep recurrent neural networks.
It's about time. Modelling human visual inference with deep recurrent neural networks.
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Speaker(s):
Tim Kietzmann, Donders Institute for Brain, Cognition and Behaviour
Embedded thumbnail for Do deep networks see the way we do? Qualitative and quantitative differences
Do deep networks see the way we do? Qualitative and quantitative differences
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Speaker(s):
S.P. Arun, Indian Institute of Science
SP Arun's homepage - https://sites.google.com/site/visionlabiisc/
Embedded thumbnail for On the surprising similarities between supervised and self-supervised models
On the surprising similarities between supervised and self-supervised models
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Speaker(s):
Robert Geirhos, University of Tübingen & International Max Planck Research School for Intelligent Systems
Embedded thumbnail for PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
CBMM Speaker(s):
Aviv Netanyahu
Project website: https://www.tshu.io/PHASE/ The ability to perceive and reason about social interactions in the context of physical environments is core to human social intelligence and human-machine cooperation. However, no prior dataset or...

Pages