公开(公告)号：US20240135254A1

公开(公告)日：2024-04-25

申请号：US18488951

申请日：2023-10-17

Applicant: Google LLC

Inventor： Harikrishna Narasimhan ,  Wittawat Jitkrittum ,  Aditya Krishna Menon ,  Ankit Singh Rawat ,  Sanjiv Kumar

IPC: G06N20/00 ,  G06N5/04

CPC classification number: G06N20/00 ,  G06N5/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for post-hoc deferral for classification tasks. In particular, a system can perform either post-hoc threshold correction or post-hoc rejector training to account for the cost of deferring model inputs to an expert system for classification.

公开(公告)号：US20220398506A1

公开(公告)日：2022-12-15

申请号：US17837398

申请日：2022-06-10

Applicant: Google LLC

Inventor： Abhishek Kumar ,  Harikrishna Narasimhan ,  Andrew Steere Cotter

IPC: G06N20/20

Abstract: A computer-implemented method for optimizing machine-learned models by non-decomposable objectives with improved performance includes obtaining data indicative of a plurality of machine-learned model parameters and at least one threshold comprising a machine-learned model; initializing an initial plurality of machine-learned model parameters and an initial at least one threshold such that the initial plurality of machine-learned model parameters and the initial at least one threshold satisfy a constraint function; determining a gradient of an objective function with respect to the plurality of machine-learned model parameters at a current optimization step based at least in part on an implicit function of the at least one threshold as a function of the plurality of machine-learned model parameters; and updating the plurality of machine-learned model parameters and the at least one threshold based at least in part on the gradient.