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60
research
∙ 01/20/2022

Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions

Empirical observation of high dimensional phenomena, such as the double ...
Mojtaba Sahraee-Ardakan, et al. ∙
82
research
∙ 01/19/2022

Near-Optimal Sparse Allreduce for Distributed Deep Learning

Communication overhead is one of the major obstacles to train large deep...
Shigang Li, et al. ∙
23
research
∙ 01/20/2022

GAN-based Matrix Factorization for Recommender Systems

Proposed in 2014, Generative Adversarial Networks (GAN) initiated a fres...
Ervin Dervishaj, et al. ∙
26
research
∙ 01/19/2022

Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias

Deep learning models have shown great potential for image-based diagnosi...
Melanie Bernhardt, et al. ∙
217
research
∙ 01/13/2022

Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks

Neuroevolution has recently been shown to be quite competitive in reinfo...
Tarek Faycal, et al. ∙
15
research
∙ 01/20/2022

Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning

The ability to discover behaviours from past experience and transfer the...
Sasha Salter, et al. ∙

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