Information Theory, Compression Bounds, Feature Learning, Neural Networks
Unified Framework for Pre-trained Neural Network Compression via Decomposition and Optimized Rank Selection
arxiv.org·23h
Not Every AI Problem Is a Data Problem
cacm.acm.org·10h
The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction & AIXI
towardsdatascience.com·1d
Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization
arxiv.org·23h
Stabilizing Information Flow Entropy: Regularization for Safe and Interpretable Autonomous Driving Perception
arxiv.org·23h
Learning Neural Antiderivatives
arxiv.org·23h
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