MIT 6.S191: Taming Dataset Bias via Domain Adaptation

MIT Introduction to Deep Learning 6.S191: Lecture 10
Taming Dataset Bias via Domain Adaptation
Lecturer: Prof. Kate Saenko, MIT-IBM Watson AI Lab
January 2021

For all lectures, slides, and lab materials: http://introtodeeplearning.com​​

Lecture Outline
0:00​​ – Introduction
3:20 – When does dataset bias occur?
7:00 – Implications in the real-world
12:41 – Dealing with data bias
14:38 – Adversarial domain alignment
20:30 – Pixel space alignment
26:03 – Few-shot pixel alignment
33:56 – Moving beyond alignment
38:59 – Enforcing consistency
42:05 – Summary and conclusion

Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!