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Just-in-Time Sparsity: Learning Dynamic Sparsity Schedules

Sparse neural networks have various benefits such as better efficiency and faster training and inference times, while maintaining the …

Kale-ab Tessera, Chiratidzo Matowe, Arnu Pretorius, Benjamin Rosman, Sara Hooker

Just-in-Time Sparsity: Learning Dynamic Sparsity Schedules

On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa

Desert locust outbreaks threaten the food security of a large part of Africa and have affected the livelihoods of millions of people …

Ibrahim Salihu Yusuf, Kale-ab Tessera, Thomas Tumiel, Zohra Slim, Amine Kerkeni, Sella Nevo, Arnu Pretorius

On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa

Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization

We use gradient flow to study sparse network optimization.

Kale-ab Tessera, Sara Hooker, Benjamin Rosman

Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization