research
∙
09/04/2023
Softmax Bias Correction for Quantized Generative Models
Post-training quantization (PTQ) is the go-to compression technique for ...
share
research
∙
07/10/2023
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training
Quantizing neural networks is one of the most effective methods for achi...
research
∙
06/22/2022
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices
Federated Learning (FL) is a machine learning paradigm to distributively...
research
∙
03/21/2022
Overcoming Oscillations in Quantization-Aware Training
When training neural networks with simulated quantization, we observe th...
research
∙
01/20/2022
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)
While neural networks have advanced the frontiers in many machine learni...
research
∙
06/15/2021
A White Paper on Neural Network Quantization
While neural networks have advanced the frontiers in many applications, ...
research
∙
05/10/2021
