Machine Learning Street Talk (MLST)

217 Folgen

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

   Vom: 14.9.2020
2. UK Algoshambles, Neuralink, GPT-3 and Intelligence

   Vom: 7.9.2020
3. Sayak Paul

   Vom: 17.7.2020
4. Robert Lange on NN Pruning and Collective Intelligence

   Vom: 8.7.2020
5. WelcomeAIOverlords (Zak Jost)

   Vom: 30.6.2020
6. Facebook Research - Unsupervised Translation of Programming Languages

   Vom: 24.6.2020
7. Francois Chollet - On the Measure of Intelligence

   Vom: 19.6.2020
8. OpenAI GPT-3: Language Models are Few-Shot Learners

   Vom: 6.6.2020
9. Jordan Edwards: ML Engineering and DevOps on AzureML

   Vom: 3.6.2020
10. One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

    Vom: 2.6.2020
11. Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

    Vom: 25.5.2020
12. ICLR 2020: Yoshua Bengio and the Nature of Consciousness

    Vom: 22.5.2020
13. ICLR 2020: Yann LeCun and Energy-Based Models

    Vom: 19.5.2020
14. The Lottery Ticket Hypothesis with Jonathan Frankle

    Vom: 19.5.2020
15. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

    Vom: 19.5.2020
16. CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    Vom: 2.5.2020
17. Exploring Open-Ended Algorithms: POET

    Vom: 24.4.2020