research
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09/05/2021
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss
Network quantization, which aims to reduce the bit-lengths of the networ...
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07/15/2020
A General Family of Stochastic Proximal Gradient Methods for Deep Learning
We study the training of regularized neural networks where the regulariz...
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11/29/2019
Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization
Neural Network quantization, which aims to reduce bit-lengths of the net...
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05/26/2019
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation
Adaptive gradient approaches that automatically adjust the learning rate...
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05/19/2018