Learning from Biased and Small Datasets - Red Hat Research Days US 2020 @RedHatOpen
Learning from Biased and Small Datasets - Red Hat Research Days US 2020 @RedHatOpen
Uploaded November 2020 | Updated September 2026, 5 hours ago
Research Day 2 - Sep 17th - Distributed Workflows

Speaker: Kate Saenko, Boston University
Red Hat Conversation leader: Sherard Griffin

►About the event
Research Days is a series of conversations about research & innovations in open source between researchers and Red Hat experts.

►Are you interested in open source projects we are incubating at Red Hat Research? Visit research.redhat.com to learn more and get involved!
Learning from Biased and Small Datasets - Red Hat Research Days US 2020Running Confidential Workloads with Podman - Container Plumbing Days 2023Red Hat NEXT! 2022: Edge Computing As Easy As CloudResearch Days 2022: Image Provenance Analysis for Disinformation DetectionTesting the reliability of systems with unstable or low-quality network connectivityResearch Days 2022: Preventing Rust Programs From Becoming C ProgramsCommunity Central: Project Overview: KonveyorCommunity Central: Introduction to the OptaPlanner AI constraint solvervLLM Semantic Router: Intelligent Auto Reasoning for Efficient LLM Inference on Mixture-of-ModelsKernel Techniques to Optimize Memory Bandwidth with Predictable Latency - Red Hat Research Days 2020The Open Road: What are the biggest challenges to DEI?Research Days 2023: CoDesign in Action: Dynamic Infrastructure Services Layer (DISL)
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Learning from Biased and Small Datasets - Red Hat Research Days US 2020

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