Quantum computers work by applying quantum operations, such as quantum gates, to delicate quantum states. Ideally, quantum ...
Improving the Instance-Dependent Transition Matrix Estimation by Exploiting Self-Supervised Learning
Abstract: The transition matrix reveals the transition relationship between clean labels and noisy labels. It plays an important role in building statistically consistent classifiers for learning with ...
Abstract: This paper proposes a new convolution layer implementation method for the parallel computation of high-dimensional matrices. It can accomplish global convolution or local convolution by ...
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