41 citations · 77 across the 12 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
Memory Faults in Activation-sparse Quantized Deep Neural Networks: Analysis and Mitigation using Sharpness-aware Training
Akul Malhotra, Sumeet Kumar Gupta
Improving the hardware efficiency of deep neural network (DNN) accelerators with techniques such as quantization and sparsity enhancement have shown an immense promise. However, th…
cs.LG2022★ 2 cited
FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networks
Akul Malhotra, Sumeet Kumar Gupta
Model compression via quantization and sparsity enhancement has gained an immense interest to enable the deployment of deep neural networks (DNNs) in resource-constrained edge envi…