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    Two classifiers being combined into a single classifier. In general, the decision boundaries of the two classifiers cannot merely be superimposed; instead new boundaries must be learned that respect both tasks.

    Sequential Learning through Knowledge Distillation and Elastic Weight Consolidation

    In the last blog post, we saw that neural networks can be simplified (or pruned) to alleviate their complexity and cost for computation. Often small...
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    Pruning ResNets for Fun and Profit

    What are Neural Networks? Neural networks are highly parameterized functions which can be trained to fit/represent/model data. Parameterized models...
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    Striveworks Named Exemplar in NSCAI Final Report

    National Security Commission on Artificial Intelligence mentions Striveworks by name in its 2020 Final Report Just two years after its founding in...
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    Striveworks Among Hottest Machine Learning Startups

    CRN recognizes Striveworks as one of 2022's hottest data science and machine learning startups. Organizations are seeking ways to view their data as...
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