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11/01/2022
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
Methods for improving the efficiency of deep network training (i.e. the ...
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10/08/2021
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks
Algorithmic bias is of increasing concern, both to the research communit...
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06/15/2021
Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation
In recent years the ubiquitous deployment of AI has posed great concerns...
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12/05/2020