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test-time-training

topic2 events
papersSEP 11 04:00 UTC

Test-time training shown to boost in-context learning of nonlinear functions

A new arXiv paper examines test-time training (TTT), a method where selected model parameters are updated before each prediction so the model can adapt to test data. The authors note that while TTT has had empirical success, its theoretical basis is not well understood, and their analysis focuses on how it affects in-context learning of nonlinear functions.

research/test-time-training/in-context-learning/theory
papersSEP 10 04:00 UTC

LeCor: Meta-Learned Test-Time Training for Interactive 3D Lung Tumour Segmentation

A new arXiv paper introduces LeCor, a method that uses meta-learned test-time training for interactive 3D segmentation of lung tumours on CT scans. Since outlining lung tumours takes up a large share of radiotherapy planning time, the approach lets clinicians iteratively correct contours proposed by a model. The work builds on promptable foundation models for segmentation in the medical imaging context.

medical-imaging/segmentation/research/healthcare