Amrith Setlur

Training ML Models to Adapt at Test Time

Modern machine learning systems concentrate most of their computation beforedeployment and then use the resulting model as a fixed predictor. This design is brittle when deployment differs from training and poorly matched to difficult problems whose solution benefits from additional reasoning, feedback, or interaction...