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How to Train a Semi-Supervised Classifier With Pseudo-Labeling and CNN Embedding...
Extract features with a pretrained CNN, cluster unlabeled images, propagate labels with pseudo-labelling, and train a semi-supervi...
Why Measuring Time is Not Enough: a Practical Roofline Model for ML Training
When we want to speed up training, the first instinct is to measure time and start optimizing the slowest kernel. But raw measurem...
What Really Determines the Speed of Your PyTorch Code?
PyTorch GPU kernels launch asynchronously, so naïve Python timing measures CPU scheduling—not GPU work. This guide shows how to be...
Reverse Engineering the AI Supply Chain: Why Regex Won't Save Your PyTorch Model...
Veritensor is an open-source tool that secures the entire lifecycle of an AI model. It detects RCE malware in Pickle files using A...
Arm, Meta Partner to Improve AI Power Efficiency
Arm and Meta form partnership to optimize AI software for energy-efficient chips used in data centers and devices.
Implementation Details of Tree-Diffusion: Architecture and Training for Inverse...
This article provides the technical implementation details of the Tree-Diffusion architecture using PyTorch and NF-ResNet.
