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07/02/2023
Morse Neural Networks for Uncertainty Quantification
We introduce a new deep generative model useful for uncertainty quantifi...
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04/10/2022
Information-theoretic Online Memory Selection for Continual Learning
A challenging problem in task-free continual learning is the online sele...
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11/03/2021
One Pass ImageNet
We present the One Pass ImageNet (OPIN) problem, which aims to study the...
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10/21/2021
Wide Neural Networks Forget Less Catastrophically
A growing body of research in continual learning is devoted to overcomin...
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06/24/2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Learning new tasks continuously without forgetting on a constantly chang...
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12/05/2019
Deep Ensembles: A Loss Landscape Perspective
Deep ensembles have been empirically shown to be a promising approach fo...
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06/13/2019
Cross-View Policy Learning for Street Navigation
The ability to navigate from visual observations in unfamiliar environme...
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07/24/2018
Learning from Delayed Outcomes with Intermediate Observations
Optimizing for long term value is desirable in many practical applicatio...
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11/30/2012