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05/24/2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility
We propose a general learning framework for the protection mechanisms th...
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06/10/2022
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework
Generative model based image lossless compression algorithms have seen a...
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07/07/2021
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations
Compared with tedious per-pixel mask annotating, it is much easier to an...
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08/14/2020
Neural Network-based Automatic Factor Construction
Instead of conducting manual factor construction based on traditional an...
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06/15/2020
Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations
This work studied the score-based black-box adversarial attack problem, ...
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04/09/2020
Rethinking the Trigger of Backdoor Attack
In this work, we study the problem of backdoor attacks, which add a spec...
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03/16/2020
Toward Adversarial Robustness via Semi-supervised Robust Training
Adversarial examples have been shown to be the severe threat to deep neu...
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12/26/2019
Alpha Discovery Neural Network based on Prior Knowledge
In financial automatic feature construction task, genetic programming is...
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11/16/2019
Maintaining Discrimination and Fairness in Class Incremental Learning
Deep neural networks (DNNs) have been applied in class incremental learn...
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09/17/2019
AdaCompress: Adaptive Compression for Online Computer Vision Services
With the growth of computer vision based applications and services, an e...
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07/17/2019
t-k-means: A k-means Variant with Robustness and Stability
Lloyd's k-means algorithm is one of the most classical clustering method...
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04/13/2019
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers
Principal Component Analysis (PCA) is a popular tool for dimensionality ...
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03/14/2019
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
How to obtain a model with good interpretability and performance has alw...
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03/10/2019
