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Investigating the Nature of 3D Generalization in Deep Neural Networks
Shoaib Ahmed Siddiqui, David Krueger, Thomas Breuel
Visual object recognition systems need to generalize from a set of 2D training views to novel views. The question of how the human visual system can generalize to novel views has b…
Blockwise Self-Supervised Learning at Scale
Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun +1
Current state-of-the-art deep networks are all powered by backpropagation. In this paper, we explore alternatives to full backpropagation in the form of blockwise learning rules, l…
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
Enoch Tetteh, Joseph Viviano, Yoshua Bengio +2
Learning models that generalize under different distribution shifts in medical imaging has been a long-standing research challenge. There have been several proposals for efficient…