【論文閱讀】NIPS2018 Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
論文地址：http://papers.nips.cc/paper/8072-co-teaching-robust-training-o 論文代碼：https://github.com/bhanML/Co-teaching （PyTorch） 針對噪聲數據的訓練，目前主要有兩種方式： 訓練noise transition matrix，例如：在softmax輸出之後再接一層softmax 先從帶噪數
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相關文章
- 1. 論文閱讀：Bag of Freebies for Training Object Detection Neural Networks
- 2. 論文閱讀：Deep Neural Networks for Object Detection
- 3. 論文閱讀——Robust Unsupervised Neural Machine Translation with Adversarial Training
- 4. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 5. [論文閱讀]Bag of Tricks for Image Classification with Convolutional Neural Networks
- 6. 論文閱讀《Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks》
- 7. 論文閱讀——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- 8. 《ImageNet Classification with Deep Convolutional Neural Networks》論文閱讀
- 9. 論文閱讀：Bag of Tricks for Image Classification with Convolutional Neural Networks
- 10. 論文--閱讀翻譯筆記-Reducing the Dimensionality of Data with Neural Networks