【論文精讀】Select Via Proxy: Efficient Data Selection For Training DeepNetworks
Select Via Proxy: Efficient Data Selection For Training DeepNetworks 2019ICLR的文章，介紹了Select Via Proxy（SVP）通過較小規模的模型來確定樣本的uncertainty進而決定複雜模型訓練使用樣本的策略。 原文地址：Select Via Proxy: Efficient Data Selection Fo
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相關文章
- 1. 【論文筆記】Accelerated Training for Massive Classification via Dynamic Class Selection
- 2. 論文閱讀——Efficient and Robust Feature Selection via Joint L2,1-Norms Minimization
- 3. Unsupervised Data Augmentation For Consistency Training 論文閱讀
- 4. [論文解讀]An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints
- 5. 論文閱讀——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- 6. 【論文閱讀】Image Preprocessing for Efficient Training of YOLO
- 7. 論文閱讀：Text-to-Text Pre-Training for Data-to-Text Tasks
- 8. [論文解讀]Test Selection for Deep Learning Systems
- 9. 【讀論文】Hash Embeddings for Efficient Word Representations
- 10. 【論文閱讀筆記】Data-Driven Sparse Structure Selection for Deep Neural Networks