Machine Unlearning
In this edition of the CCSRI Seminar Series, we are joined by Mohan Kankanhalli, Professor of Computer Science at the National University of Singapore to discuss machine unlearning. This talk will introduce you to the emerging field of machine unlearning, discuss the motivations behind it, the techniques employed, and its implications for data privacy, fairness, and interpretability.
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Human Factors and Cyber Security
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Machine Unlearning: An Emerging Fundamental Technology | Peter Triantafillou, University of Warwick
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AlphaFold - The Most Useful Thing AI Has Ever Done
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11 AI Summer School Concetto Spampinato, May 7, day 4
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Masterclass – Data Science and Analytics | CHS @ NUS Open House 2022
![Yann LeCun's $1B Bet Against LLMs [Part 1]](https://i.ytimg.com/vi/kYkIdXwW2AE/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDbV4izF3i-wxevCVIn7FJjoy1vlA)
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Yann LeCun's $1B Bet Against LLMs [Part 1]
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Causal AI for real-world public health decisions
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Are we making progress in machine unlearning? - Eleni Triantafillou - CoLLAs 2024
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23724 Machine Unlearning in Computer Vision
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LSTM is dead. Long Live Transformers!
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How does machine unlearning work?
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Machine Unlearning for Generative AI
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Training Sand to Think: Artificial General Intelligence & Future of Physics
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How To Think SO CLEARLY People Assume You're A Genius
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Interpretability: Understanding how AI models think
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Machine learning models in autonomous driving From theory to practice
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Stanford CS25: V3 I Retrieval Augmented Language Models
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Visualizing transformers and attention | Talk for TNG Big Tech Day '24
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Ulrich Walter: Artificial Intelligence for Dummies
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