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cs.LG2022
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization
Masud An-Nur Islam Fahim, Jani Boutellier
Methods for improving deep neural network training times and model generalizability consist of various data augmentation, regularization, and optimization approaches, which tend to…
cs.LG2022★ 2 cited
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework
Jani Boutellier, Bo Tan, Jari Nurmi
Collaborative inference has received significant research interest in machine learning as a vehicle for distributing computation load, reducing latency, as well as addressing priva…
cs.LG2018
Binarized Convolutional Neural Networks for Efficient Inference on GPUs
Mir Khan, Heikki Huttunen, Jani Boutellier
Convolutional neural networks have recently achieved significant breakthroughs in various image classification tasks. However, they are computationally expensive,which can make the…