Machine Learning Street Talk (MLST)

217 Odcinki

1. SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)

   Opublikowany: 14.09.2020
2. UK Algoshambles, Neuralink, GPT-3 and Intelligence

   Opublikowany: 7.09.2020
3. Sayak Paul

   Opublikowany: 17.07.2020
4. Robert Lange on NN Pruning and Collective Intelligence

   Opublikowany: 8.07.2020
5. WelcomeAIOverlords (Zak Jost)

   Opublikowany: 30.06.2020
6. Facebook Research - Unsupervised Translation of Programming Languages

   Opublikowany: 24.06.2020
7. Francois Chollet - On the Measure of Intelligence

   Opublikowany: 19.06.2020
8. OpenAI GPT-3: Language Models are Few-Shot Learners

   Opublikowany: 6.06.2020
9. Jordan Edwards: ML Engineering and DevOps on AzureML

   Opublikowany: 3.06.2020
10. One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

    Opublikowany: 2.06.2020
11. Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

    Opublikowany: 25.05.2020
12. ICLR 2020: Yoshua Bengio and the Nature of Consciousness

    Opublikowany: 22.05.2020
13. ICLR 2020: Yann LeCun and Energy-Based Models

    Opublikowany: 19.05.2020
14. The Lottery Ticket Hypothesis with Jonathan Frankle

    Opublikowany: 19.05.2020
15. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

    Opublikowany: 19.05.2020
16. CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    Opublikowany: 2.05.2020
17. Exploring Open-Ended Algorithms: POET

    Opublikowany: 24.04.2020