MLSS-Indo 2020

Website and Chat

• Member Website: https://mlss.telkomuniversity.ac.id/member/

• Chat Website: https://chat.telkomuniversity.ac.id:3000/

Lectures

1. Machine Learning Basics by Daniel Worrall (University of Amsterdam)

   • VDO: https://www.youtube.com/watch?v=FrbWQDdGpHQ

2. Deep Learning Fundamental by Daniel Worrall (University of Amsterdam)

   • VDO: https://www.youtube.com/watch?v=K59cmobQKew

3. Advanced Topics in Equivariance by Daniel Worrall (University of Amsterdam)

   • VDO: https://www.youtube.com/watch?v=HPU--yAGIBQ

4. Bayesian Machine Learning (Part 1) by Shakir Mohamed (Deep Mind)

   • VDO: https://www.youtube.com/watch?v=zPnTrbcGQVk

5. Information Theoretic Objectives and Robust Generalization (Part 1) by Ian Fischer (Google AI)

   • VDO: https://www.youtube.com/watch?v=N4IMI_9Qpc4

6. Computational Morphology by Mustafa Mat Derris (UTHM Malaysia) and M. Arif Bijaksana (Telkom University and INACL)

   • VDO: https://www.youtube.com/watch?v=F3tS6T3JQUw

7. Bayesian Machine Learning (Part 2) by Shakir Mohamed (Deep Mind)

   • VDO: https://www.youtube.com/watch?v=owJnjd7MqFs

8. Reinforcement Learning by Feryal Behbahani (Deep Mind) and Matthew W. Hoffman (Deep Mind)

   • VDO: https://www.youtube.com/watch?v=Nb676Z8QpOw

9. Information Theoretic Objectives and Robust Generalization (Part 2) by Ian Fischer (Google AI)

   • VDO: https://www.youtube.com/watch?v=hEjfhmlIpoE

10. Meet the speaker (Ian Fischer)

    • VDO: https://www.youtube.com/watch?v=79OvKmbIBCQ

11. Probabilistic Generative Models, VAEs and Flows by Max Welling (University of Amsterdam)

    • VDO: https://www.youtube.com/watch?v=GEaQeegX65g

12. Deep Learning for NLP by Katharina Kann (University of Colorado)

    • VDO: https://www.youtube.com/watch?v=BDOtt93-ZeI

    • Discussion: Zoom

13. How to write a good paper by Muhammad Haris (Bukalapak) and Adhiguna Kuncoro (Deepmind & University of Oxford)

    • VDO: https://www.youtube.com/watch?v=6qPtBaQLoys

14. Graph Neural Nets by Max Welling (University of Amsterdam)

    • VDO: https://www.youtube.com/watch?v=UnGQIgtyxhQ

    • Discussion: Zoom

15. Meet The Speaker (Shakir Mohamed)

    • VDO: https://www.youtube.com/watch?v=CYg4GV7xtKY

    • Discussion: Zoom

16. Transfer Learning for NLP by Katharina Kann (University of Colorado)

    • VDO: https://www.youtube.com/watch?v=0a2uXS7tmxA

17. Multi-lingual NLP by Adhiguna (Deepmind & University of Oxford)

    • VDO: https://www.youtube.com/watch?v=_4AGMpz4I0c

18. Super-resolution and its Application to Computer Vision Task by Muhammad Haris (Bukalapak)

    • VDO: https://www.youtube.com/watch?v=52PwqiMt6UM

Labs

1. Machine Learning Fundamental, TensorFlow by Anditya Arifianto (Telkom University)

   • VDO: https://www.youtube.com/watch?v=sortGkd1NPA

2. Convolutional Neural Network by Vincent Tatan

   • VDO: https://www.youtube.com/watch?v=fzpp9leMqXA

3. Object Detection by Rony Kalfarisi (Bukalapak)

   • VDO: https://www.youtube.com/watch?v=nm80HRlnrto

4. Reinforcement Learning by Feryal Behbahani (Deep Mind) and Matthew W. Hoffman (Deep Mind)

   • VDO: https://www.youtube.com/watch?v=HUh6HiuP8Ws

   • Discussion: Zoom

5. Variational Auto Encoder + GAN by Anditya Arifianto (Telkom University)

   • VDO: https://www.youtube.com/watch?v=2V6_5j2nsfs

   • Discussion: Zoom

6. Deep Learning for NLP by Genta Indra Winata (The Hong Kong University of Science and Technology)

   • VDO: https://www.youtube.com/watch?v=Hvv70m8guVM

   • Discussion: Zoom

7. LSTM, Attention Mechanism, Transformer by Genta Indra Winata (The Hong Kong University of Science and Technology)

   • VDO: https://www.youtube.com/watch?v=9JSzQi1ZkRI

   • Discussion: Zoom

8. Transfer Learning for NLP by Radityo Eko Prasojo (Kata.ai)

   • VDO: https://www.youtube.com/watch?v=xSPqKanVRRw&feature=youtu.be

   • Discussion: Zoom