Machine Learning Blog | ML@CMU | Carnegie Mellon University

A year of building a video caption pipeline with 100+ professional creators, and what it taught us about scaling supervision instead of models.

By Zhiqiu Lin and Chancharik Mitra. Based on our CVPR 2026 work, Building a Precise Vi...

More than a trillion dollars are lost every year due to system failures. To resolve them, engineers must troubleshoot outages quickly.

An important task in incident response involves analyzing observability metrics, or time series data that snapshot the health of software systems. For example, an engineer for a service may use Datadog to answer questions like “W...

CMU researchers are presenting 194 papers at the Fourteenth International Conference on Learning Representations (ICLR 2026), held from April 23rd-April 27th at the Riocentro Convention and Event Center in Rio de Janeiro, Brazil. Here is a quick overview of the areas our researchers are working on:

Here are our most frequent collaborator institutions:

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