• Sliceline: Fast, Linear-Algebra-Based Slice Finding for ML Model Debugging
    September 8, 2021Team Snorkel
    - Diving Into SliceLine - Machine Learning Whiteboard (MLW) Open-source Series Earlier this year, we started our machine learning whiteboard (MLW) series, an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal and open environment to everyone interested in… ...
  • The Future of Data-Centric AI – Virtual Live Event
    August 31, 2021Team Snorkel
    - Join the live discussion. Learn how to unlock data-centric AI and make AI development practical in your organization Working with vast unstructured and unlabeled data is one of the bottlenecks in the machine learning lifecycle. Machine learning models can only get as reliable and accurate as the data being fed… ...
  • Snorkel AI Raises $85m Series C at $1b Valuation for Data-Centric AI
    August 9, 2021Alex Ratner
    - We started the Snorkel project at the Stanford AI lab in 2015 around two core hypotheses: ...
  • Developing and Managing Systems to Extract Structured Data
    August 2, 2021Team Snorkel
    - Machine Learning Whiteboard (MLW) Open-source Series Earlier this year, we started our machine learning whiteboard (MLW) series, an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal and open environment to everyone interested in learning about machine learning.In… ...
  • How to Use Snorkel to Build AI Applications
    July 9, 2021Braden Hancock
    - The how, what, and why of Snorkel’s programmatic data labeling approach and the state-of-the-art Snorkel Flow platform. The year was 2015. For the first time, machine learning (ML) had outperformed humans in the annual ImageNet challenge. ...
  • Multi-Resolution Weak Supervision for Sequential Data
    June 25, 2021Team Snorkel
    - Machine Learning Whiteboard (MLW) Open-source Series Our machine learning whiteboard (MLW) is an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal and open environment to everyone interested in discovering more about machine learning.In this episode, Hiromu Hota,… ...
  • Weak Supervision in Biomedicine
    June 16, 2021Team Snorkel
    - In this episode of Science Talks, Snorkel AI’s Braden Hancock chats with Jason Fries - a research scientist at Stanford University’s Biomedical Informatics Research lab and Snorkel Research, and one of the first contributors to the Snorkel open-source library. We discuss Jason’s path into machine learning, empowering doctors and scientists… ...
  • Training Classifiers With Natural Language Explanations
    May 24, 2021Team Snorkel
    - Machine Learning Whiteboard (MLW) Open-source Series Earlier this year, we started our machine learning whiteboard (MLW) series, an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal and open environment to everyone interested in learning about machine learning.In… ...
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