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Feature learning, alignment and the linear representation hypothesis for steering & monitoring LLMs
Feature Representation | Stanford CS224U Natural Language Understanding | Spring 2021
Chris Maddison | The future of representation learning
Day 4 - Causal Discovery & Representation Learning | Jason Hartford
Machine Learning Course - 4. Intro to Feature Engineering with Text
Class 27 Video: Feature Extraction and Machine Learning
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Last Updated: September 30, 2026
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Part of the course "Statistical Machine Learning", Summer Term 2020, Ulrike von Luxburg, University of Tübingen. Hello again our next topic for the course is going to be a very important one this week on Speaker: Mikhail Belkin, University of California, San Diego Date: September 2, 2026 Abstract: ... MIT 6.7960 Deep Learning, Fall 2024 Instructor: Phillip Isola View the complete course: ... MIT 6.868J The Society of Mind, Fall 2011 View the complete course: ocw.mit.edu/6-868JF11 Instructor: Marvin Minsky In ... Speaker : Shuyu Lin University of Oxford Abstract: For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: stanford.io/ai For ... SRI Seminar Series welcomes Chris Maddison, an assistant professor in the Department of Computer Science and the ... Join Portal to connect with the speakers: portal.valencelabs.com/ This is a recording from the 2024 Machine Learning for ... A full university-level machine learning course - for free. New lectures every week. Designed as a first course for engineers, ... ... aspects of the final project, and introduces