Certified Approximation for Interpretable Representer Landmarks
Representer explanations rank the training landmarks that most influence a self-supervised representation. At scale, this ranking rests on up to four stacked approximations of the empirical neural tangent kernel (eNTK). These are random output heads, a parameter sketch, landmark sampling and a coefficient fit. Existing...
Jayanta Mukherjee, Shourya Verma, Meng-Bo Wang et al.
· 0 citations