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Weight Space Learning Treating Neural Network Weights as Data
Paper Review ·In the world of machine learning, we often think of data as the primary source of information. But what if we started looking at the models themselves as a rich source of data? This is the core idea behind weight space learning, a fascinating and rapidly developing field of AI research. The real question in this post...
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Dev on Docker, Deploy on Singularity The MLOps Workflow You've Been Missing
Tutorials ·You’ve perfected your machine learning model in a Docker container on your local machine. But how do you run it on a secure, shared high-performance computing (HPC) cluster? The answer is Singularity. Let’s walk through the process.
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GROOD - GRadient-aware Out-Of-Distribution detection
Publications ·Out-of-Distribution (OOD) detection, the task of identifying inputs that a model has not been trained on, is fundamental for the safe and reliable deployment of deep learning models in real-world applications like autonomous driving and healthcare. Models that perform well on familiar, in-distribution...