Towards Exact Gradient-based Training on Analog In-memory Computing

Neural Information Processing Systems 

While inference on analog accelerators has been studied recently, the training perspective is underexplored. Recent studies have shown that the "workhorse" of digital AI training - stochastic gradient descent (

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