MIT : Taming Dataset Bias via Domain Adaptation

MIT Introduction to Deep Learning : 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: ​​ 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!!