Machine Learning Street Talk (MLST)

217 Folgen

1. Prof. Randall Balestriero - LLMs without pretraining and SSL

   Vom: 23.4.2025
2. How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

   Vom: 8.4.2025
3. Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!

   Vom: 2.4.2025
4. The Compendium - Connor Leahy and Gabriel Alfour

   Vom: 30.3.2025
5. ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)

   Vom: 24.3.2025
6. Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)

   Vom: 22.3.2025
7. GSMSymbolic paper - Iman Mirzadeh (Apple)

   Vom: 19.3.2025
8. Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)

   Vom: 18.3.2025
9. Tau Language: The Software Synthesis Future (sponsored)

   Vom: 12.3.2025
10. John Palazza - Vice President of Global Sales @ CentML ( sponsored)

    Vom: 10.3.2025
11. Transformers Need Glasses! - Federico Barbero

    Vom: 8.3.2025
12. Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu

    Vom: 1.3.2025
13. Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?

    Vom: 19.2.2025
14. Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?

    Vom: 18.2.2025
15. Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners

    Vom: 12.2.2025
16. Sepp Hochreiter - LSTM: The Comeback Story?

    Vom: 12.2.2025
17. Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

    Vom: 8.2.2025
18. Nicholas Carlini (Google DeepMind)

    Vom: 25.1.2025
19. Subbarao Kambhampati - Do o1 models search?

    Vom: 23.1.2025
20. How Do AI Models Actually Think? - Laura Ruis

    Vom: 20.1.2025