Researchers find way to boost self-supervised AI models’ robustness
February 26, 2020
In self-supervised learning — an AI technique where the training data is automatically labeled by a feature extractor — the extractor can exploit low-level features (known as “shortcuts”) that cause it to ignore useful representations. In search of a technique that might help remove these shortcuts autonomously, researchers at Google Brain developed a framework — a “lens” — that…