Piotr Wasilewski

Searching for Accuracy vs. Efficiency Trade-off Solution in Deep Differentiable Logic Gate Networks

Recent research on Deep Differentiable Logic Gate Networks (DLNs) aim to shift machine learning from traditional weight based models to weightless networks that learn the best logical operators using gradient-based optimization. While DLNs can provide much faster inference and require less memory together with an inter...