Pruning Binarized Neural Networks: A Dedicated Framework and Globally Weighted Algorithms
cs.LG
Submitted: 2026-08-26
Updated: 2026-08-26
Comments: 9 pages, 3 figures, 5 tables, 3 algorithms
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
- A Survey of Quantization Methods for Efficient Neural Network Inference
- Adam: A Method for Stochastic Optimization
- Network In Network
- ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
- Training Binary Neural Networks with Real-to-Binary Convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition
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