Adaptive multi-bit progressive quantization for stable training of binary neural networks
This novel progressive quantization framework combines multi-bit assistive teacher models with self-knowledge distillation to stabilize BNN training and integrates matching structured pruning with an asymmetric Binary Weight Network scaling factor, thereby reducing quantization errors while maintaining hardware efficie...