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GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks.
Benjamin J. Bodner, Gil Ben Shalom,
Eran Treister
Department of Computer Science
Research output
:
Working paper/Preprint
›
Preprint
Overview
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Dive into the research topics of 'GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks.'. Together they form a unique fingerprint.
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Keyphrases
Bit Allocation
100%
Quantized Neural Networks
100%
Gradient-free
100%
Low Precision Neural Network
100%
Gradient-based Optimization
50%
Network Dynamics
25%
Neural Network
25%
Deep Neural Network
25%
Optimization Scheme
25%
Low-resource
25%
Precision Level
25%
Computational Load
25%
Joint Optimization
25%
Training Dynamics
25%
Dynamic Quantization
25%
Edge Devices
25%
CIFAR-10
25%
Novel Joint
25%
ImageNet Classification
25%
Engineering
Joints (Structural Components)
100%
Quantization (Signal Processing)
100%
Deep Neural Network
100%
Computational Load
100%
Computer Science
Neural Network
100%
Quantization (Signal Processing)
14%
Network Dynamic
14%
Deep Neural Network
14%
Computational Load
14%