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Nov 18, 2020 · Positive-congruent (PC) training aims at reducing error rate while at the same time reducing negative flips, thus maximizing congruency with the ...
Positive- congruent (PC) training aims at reducing error rate while at the same time reducing negative flips, thus maximizing congruency with the reference ...
Positive- congruent (PC) training aims at reducing error rate while at the same time reducing negative flips, thus maximizing congruency with the reference ...
Sep 5, 2024 · Positive-congruent (PC) training aims at reducing error rate while at the same time reducing negative flips, thus maximizing congruency with the ...
Positive-congruent (PC) training aims at reducing error rate while at the same time reducing negative flips, thus maximizing congruency with the reference model ...
A simple approach for PC training, Focal Distillation, is proposed, which enforces congruence with the reference model by giving more weights to samples ...
The prediction backward-compatible model upgrade problem aims to improve consistency of correct classification predictions between legacy and upgraded models ...
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It provides training scripts for mainstream network architectures and analysis tools for evaluating regression extent among them. Regression in model update: ...
Model updates can have two or more changes together. Here we present preliminary results on model updates with both (a) change in model architecture, ...
Positive-congruent training: Towards regression-free model updates. S Yan, Y Xiong, K Kundu, S Yang, S Deng, M Wang, W Xia, S Soatto. Proceedings of the IEEE ...