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Self-Supervised Learning

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February 20, 2024

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Self-Supervised Learning

Xiao Fu – Multiview and Self-Supervised Representation Learning: Nonlinear Mixture Identification

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Self-Supervised Learning

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Self-Supervised Learning

Osbert Bastani – Interpretable Machine Learning via Program Synthesis – IPAM at UCLA

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Self-Supervised Learning

Klaus Robert Muller – AI for the Sciences: Recent Developments for XAI – IPAM at UCLA

February 20, 2024

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Self-Supervised Learning

Jaesik Choi – Explainable AI to Analyze Internal Decision Mechanism of Deep Neural Networks

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Self-Supervised Learning

Bin Yu – Interpreting Deep Neural Networks towards Trustworthiness – IPAM at UCLA

February 20, 2024

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Self-Supervised Learning

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Self-Supervised Learning

Wojciech Samek – Concept-Level Explainable AI – IPAM at UCLA

February 20, 2024

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Self-Supervised Learning

Cecelia Clementi – Designing molecular models with machine learning and experimental data

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Category - AI Science

Computer Vision Deep Learning Markov Models Neural Network Quantum Computing in AI Reinforcement Learning Self-Supervised Learning Support Vector Machines (SVM)Transformer Architecture

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AI Science, Natural Language Processing (NLP), Standford U, Standford University, Stanford CS224N: NLP with Deep Learning

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AI Science, Natural Language Processing (NLP), Standford U, Standford University, Stanford CS224N: NLP with Deep Learning

Stanford CS224N NLP with Deep Learning | 2023 | Lecture 14 – Insights between NLP and Linguistics

AI Science, Natural Language Processing (NLP), Standford U, Standford University, Stanford CS224N: NLP with Deep Learning

Stanford CS224N NLP with Deep Learning | 2023 | Lecture 15 – Code Generation

AI Science, Natural Language Processing (NLP), Standford U, Standford University, Stanford CS224N: NLP with Deep Learning

Stanford CS224N NLP with Deep Learning | 2023 | Lecture 16 – Multimodal Deep Learning, Douwe Kiela

AI Science, Natural Language Processing (NLP), Standford U, Standford University, Stanford CS224N: NLP with Deep Learning

Stanford CS224N NLP with Deep Learning | 2023 | Lec. 19 – Model Interpretability & Editing, Been Kim

AI Science, Natural Language Processing (NLP), Standford U, Standford University, Stanford CS224N: NLP with Deep Learning

Stanford CS224N NLP with Deep Learning | 2023 | Lecture 11 – Natural Language Generation

AI Science, Natural Language Processing (NLP), Standford U, Standford University, Stanford CS224N: NLP with Deep Learning

Stanford CS224N NLP with Deep Learning | 2023 | Lecture 9 – Pretraining

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Stanford CS229 Machine Learning I Model-based RL, Value function approximator I 2022 I Lecture 20

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Stanford CS229 I Societal impact of ML (Guest lecture by Prof. James Zou) I 2022 I Lecture 18

Machine Learning CS229, Self-Supervised Learning, Standford U, Standford University

Stanford CS229 I Basic concepts in RL, Value iteration, Policy iteration I 2022 I Lecture 17