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Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
Neural Information Processing Systems
Continual learning agents experience a stream of (related) tasks.
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Teaching an Active Learner with Contrastive Examples Chaoqi Wang University of Chicago
Neural Information Processing Systems
We investigate an efficient teaching algorithm that adaptively picks these contrastive examples.
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Latent Equilibrium
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn & Mihai A. Petrovici
Neural Information Processing Systems
A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
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- Health & Medicine > Therapeutic Area > Neurology (0.94)
- Education (0.68)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- North America > United States > Wisconsin > Dane County > Madison (0.04)
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- Research Report (0.93)
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Industry: Education (0.46)
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Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
Neural Information Processing Systems
The sample complexities of our algorithms can be quantified in terms of well-known quantities like the extended teaching dimension and haystack dimension.
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- North America > United States > Wisconsin > Dane County > Madison (0.04)
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