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Found 4 papers, 2 papers with code
Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket
In addition to reducing search space, the random freezing pattern can also be exploited to reduce model size in inference.
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets
The Strong Lottery Ticket Hypothesis (SLTH) demonstrates the existence of high-performing subnetworks within a randomly initialized model, discoverable through pruning a convolutional neural network (CNN) without any weight training.
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks
Deep neural networks (DNNs) are so over-parametrized that recent research has found them to already contain a subnetwork with high accuracy at their randomly initialized state.
Real-time Tone Mapping: A State of the Art Report
In this state of the art report, we present a comprehensive survey of 50+ tone mapping algorithms that have been implemented on hardware for acceleration and real-time performance.
