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cs.LG2025
On the Unreasonable Effectiveness of Last-layer Retraining
John C. Hill, Tyler LaBonte, Xinchen Zhang +1
Last-layer retraining (LLR) methods -- wherein the last layer of a neural network is reinitialized and retrained on a held-out set following ERM training -- have garnered interest…
stat.ML2025
Task Shift: From Classification to Regression in Overparameterized Linear Models
Tyler LaBonte, Kuo-Wei Lai, Vidya Muthukumar
Modern machine learning methods have recently demonstrated remarkable capability to generalize under task shift, where latent knowledge is transferred to a different, often more di…