1 citations · 1 across the 4 of their papers we have counts for
5 papers
The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion
R. M. Cichy, K. Dwivedi, B. Lahner +8
The sciences of natural and artificial intelligence are fundamentally connected. Brain-inspired human-engineered AI are now the standard for predicting human brain responses during…
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning
Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy +1
In this paper, we tackle an open research question in transfer learning, which is selecting a model initialization to achieve high performance on a new task, given several pre-trai…
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
Radoslaw Martin Cichy, Gemma Roig, Alex Andonian +6
In the last decade, artificial intelligence (AI) models inspired by the brain have made unprecedented progress in performing real-world perceptual tasks like object classification…
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Kshitij Dwivedi, Gemma Roig
Transfer learning is widely used in deep neural network models when there are few labeled examples available. The common approach is to take a pre-trained network in a similar task…
Deep Anchored Convolutional Neural Networks
Jiahui Huang, Kshitij Dwivedi, Gemma Roig
Convolutional Neural Networks (CNNs) have been proven to be extremely successful at solving computer vision tasks. State-of-the-art methods favor such deep network architectures fo…