Training with quantization noise for extreme model compression
We tackle the problem of producing compact models, maximizing their accuracy for a given
model size. A standard solution is to train networks with Quantization Aware Training, where …
model size. A standard solution is to train networks with Quantization Aware Training, where …
Training with Quantization Noise for Extreme Model Compression
P Stock, A Fan, B Graham, E Grave… - ICLR 2021 …, 2021 - hal.science
We tackle the problem of producing compact models, maximizing their accuracy for a given
model size. A standard solution is to train networks with Quantization Aware Training, where …
model size. A standard solution is to train networks with Quantization Aware Training, where …
Training with Quantization Noise for Extreme Model Compression
P Stock, A Fan, B Graham, E Grave… - ICLR 2021 …, 2021 - inria.hal.science
We tackle the problem of producing compact models, maximizing their accuracy for a given
model size. A standard solution is to train networks with Quantization Aware Training, where …
model size. A standard solution is to train networks with Quantization Aware Training, where …
Training with Quantization Noise for Extreme Model Compression
P Stock, A Fan, B Graham, E Grave, R Gribonval… - … Conference on Learning … - openreview.net
We tackle the problem of producing compact models, maximizing their accuracy for a given
model size. A standard solution is to train networks with Quantization Aware Training, where …
model size. A standard solution is to train networks with Quantization Aware Training, where …
Training with Quantization Noise for Extreme Model Compression
A Fan, P Stock, B Graham, E Grave… - arXiv e …, 2020 - ui.adsabs.harvard.edu
We tackle the problem of producing compact models, maximizing their accuracy for a given
model size. A standard solution is to train networks with Quantization Aware Training, where …
model size. A standard solution is to train networks with Quantization Aware Training, where …