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Found 3 papers, 3 papers with code
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
In this challenging setting, the transferable representations already encoded in the pretrained model are a key aspect to preserve.
Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations
With these novelties, we show the following: (a) The proposed MGE allows to extract topological metrics that are much better predictors of the accuracy drop than metrics computed from current input-agnostic BGEs; (b) Which metrics are important at different sparsity levels and for different architectures; (c) A mixture of our topological metrics can rank PaI algorithms more effectively than Ramanujan-based metrics.
Quantum Multi-Model Fitting
Geometric model fitting is a challenging but fundamental computer vision problem.
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