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Inductive Bias Courses and Certifications

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Inductive Bias Courses and Certifications

Discovering Symbolic Models from Deep Learning with Inductive Biases

MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

Machine Learning

The Future of Natural Language Processing

An Image is Worth 16x16 Words - Transformers for Image Recognition at Scale

Noether Networks - Meta-Learning Useful Conserved Quantities

Improved Machine Learning Algorithm for Predicting Ground State Properties

A Theory for Emergence of Complex Skills in Language Models

Understanding the Robustness of Deep Learning

Beyond Empirical Risk Minimization - The Lessons of Deep Learning

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

PirateNets - Physics-Informed Deep Learning with Residual Adaptive Networks

Do We Really Need All That Data? Learning and Control for Contact-rich Manipulation

Large ML Potentials for Chemistry - Generalization, Inductive Biases, and Error Cancellation

Human and Machine Inductive Biases for Compositional Linguistic Generalization

Inductive Bias Courses and Certifications

Discovering Symbolic Models from Deep Learning with Inductive Biases

MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

Machine Learning

The Future of Natural Language Processing

An Image is Worth 16x16 Words - Transformers for Image Recognition at Scale

Noether Networks - Meta-Learning Useful Conserved Quantities

Improved Machine Learning Algorithm for Predicting Ground State Properties

A Theory for Emergence of Complex Skills in Language Models

Understanding the Robustness of Deep Learning

Beyond Empirical Risk Minimization - The Lessons of Deep Learning

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

PirateNets - Physics-Informed Deep Learning with Residual Adaptive Networks

Do We Really Need All That Data? Learning and Control for Contact-rich Manipulation

Large ML Potentials for Chemistry - Generalization, Inductive Biases, and Error Cancellation

Human and Machine Inductive Biases for Compositional Linguistic Generalization

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