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09/20/2023
EPTQ: Enhanced Post-Training Quantization via Label-Free Hessian
Quantization of deep neural networks (DNN) has become a key element in t...
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12/07/2022
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation
Source-free domain adaptation (SFDA) aims to transfer knowledge learned ...
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03/07/2022
Learning to Bound: A Generative Cramér-Rao Bound
The Cramér-Rao bound (CRB), a well-known lower bound on the performance ...
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09/19/2021
HPTQ: Hardware-Friendly Post Training Quantization
Neural network quantization enables the deployment of models on edge dev...
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04/12/2021
Multi-View Image-to-Image Translation Supervised by 3D Pose
We address the task of multi-view image-to-image translation for person ...
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07/20/2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
Recent work in network quantization produced state-of-the-art results us...
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07/05/2019
