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Found 2 papers, 1 papers with code
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
Recent strategies achieved ensembling "for free" by fitting concurrently diverse subnetworks inside a single base network.
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Image Classification
on Tiny ImageNet Classification
Tinkering with black boxes: counterfactuals uncover modularity in generative models
Deep generative models such as Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) are important tools to capture and investigate the properties of complex empirical data.
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