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Found 2 papers, 1 papers with code
Multi-Domain Adversarial Learning
Multi-domain learning (MDL) aims at obtaining a model with minimal average risk across multiple domains.
Stochastic Gradient Descent: Going As Fast As Possible But Not Faster
When applied to training deep neural networks, stochastic gradient descent (SGD) often incurs steady progression phases, interrupted by catastrophic episodes in which loss and gradient norm explode.
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