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Because ProMix trains two equivalent networks, there are a few minor issues to consider when it comes to inference:
a) Considering the balance between inference speed and performance, should I take…
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## Keyword: sgd
### Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
- **Authors:** Authors: Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejin…
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Hi,
I might have interesting articles for you to add. It's a list of 34 articles using deep learning methods applied to MIR. The list is in form of a bib file where the field `code` points to the we…
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## Keyword: detection
### Video Anomaly Detection by Estimating Likelihood of Representations
- **Authors:** Yuqi Ouyang, Victor Sanchez
- **Subjects:** Computer Vision and Pattern Recognition (cs.C…
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I wonder whether we should add unsupervised feature selection using correlation. It's a strategy that's very common in statistics and might just have it for completeness.
It's certainly more useful t…
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_brainstorm_ Survey+thesis
1 course msc for Q1 left. Did ML course and industry Kubernets experience. prior google summer of code experience. Python == main working language. Possibly: https://bitco…
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## Keyword: super resolution
There is no result
## Keyword: gan
### Towards Discovery and Attribution of Open-world GAN Generated Images
- **Authors:** Sharath Girish, Saksham Suri, Saketh Rambhatla…
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Hi, I tried to use `SemiBaseDetector` to improve the performance of RTMDet using additional unlabeled data. But I found the teacher model gives an empty prediction while the student model can reach 59…
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Keyword: iot (4 papers)Wireless Sensor Networks anomaly detection using Machine Learning: A Survey :brain: Authors: Ahsnaul Haque, Md Naseef-Ur-Rahman Chowdhury, Hamdy Soliman, Moha…