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09/15/2023
BROW: Better featuRes fOr Whole slide image based on self-distillation
Whole slide image (WSI) processing is becoming part of the key component...
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07/25/2023
High Probability Analysis for Non-Convex Stochastic Optimization with Clipping
Gradient clipping is a commonly used technique to stabilize the training...
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04/12/2023
Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation
With the continuous improvement of computing power and deep learning alg...
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04/30/2022
Understanding the Generalization Performance of Spectral Clustering Algorithms
The theoretical analysis of spectral clustering mainly focuses on consis...
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11/09/2021
Learning Rates for Nonconvex Pairwise Learning
Pairwise learning is receiving increasing attention since it covers many...
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10/27/2021
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Recently, a series of algorithms have been explored for GAN compression,...
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07/19/2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
Generalization performance of stochastic optimization stands a central p...
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03/26/2021
Distilling a Powerful Student Model via Online Knowledge Distillation
Existing online knowledge distillation approaches either adopt the stude...
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01/20/2021
Non-Parametric Adaptive Network Pruning
Popular network pruning algorithms reduce redundant information by optim...
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11/17/2020
Learning Efficient GANs via Differentiable Masks and co-Attention Distillation
Generative Adversarial Networks (GANs) have been widely-used in image tr...
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01/23/2020