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07/10/2023
Measuring and Mitigating Interference in Reinforcement Learning
Catastrophic interference is common in many network-based learning syste...
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03/09/2021
Scalable Online Recurrent Learning Using Columnar Neural Networks
Structural credit assignment for recurrent learning is challenging. An a...
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06/12/2020
Learning Causal Models Online
Predictive models – learned from observational data not covering the com...
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10/03/2019
Is Fast Adaptation All You Need?
Gradient-based meta-learning has proven to be highly effective at learni...
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06/25/2019
Simultaneous Prediction Intervals for Patient-Specific Survival Curves
Accurate models of patient survival probabilities provide important info...
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05/29/2019
Meta-Learning Representations for Continual Learning
A continual learning agent should be able to build on top of existing kn...
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07/08/2018
Revisiting Distillation and Incremental Classifier Learning
One of the key differences between the learning mechanism of humans and ...
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07/08/2018
