“Student-Research-Training-THU”版本间的差异
（→2017年学术活动） |
（→2017年学术活动） |
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| 第12行： | 第12行： | ||
[x] Nguyen, Anh, Jason Yosinski, and Jeff Clune. "Deep neural networks are easily fooled: High confidence predictions for unrecognizable images." CVPR. 2015. | [x] Nguyen, Anh, Jason Yosinski, and Jeff Clune. "Deep neural networks are easily fooled: High confidence predictions for unrecognizable images." CVPR. 2015. | ||
| + | |||
| + | =供选论文清单= | ||
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| + | TensorFlow系列 | ||
| + | |||
| + | CV系列 | ||
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| + | ASR语音识别 | ||
| + | |||
| + | |||
| + | [Quasi-Recurrent Neural Networks](https://arxiv.org/abs/1611.01576) | ||
| + | |||
| + | [Training RNNs as Fast as CNNs](https://arxiv.org/abs/1709.02755) | ||
| + | |||
| + | [Semi-Supervised Classification with Graph Convolutional Networks](https://arxiv.org/abs/1609.02907) | ||
| + | |||
| + | [A Survey on Transfer Learning](http://www3.ntu.edu.sg/home/sinnopan/publications/TLsurvey_0822.pdf) | ||
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| + | [How transferable are features in deep neuralnetworks?](https://arxiv.org/abs/1411.1792) | ||
| + | |||
| + | [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) | ||
| + | |||
| + | [One-Shot Learning of Object Categories](http://vision.stanford.edu/documents/Fei-FeiFergusPerona2006.pdf) | ||
| + | |||
| + | [One-shot Learning with Memory-Augmented Neural Networks](https://arxiv.org/abs/1605.06065) | ||
| + | |||
| + | [Auto-Encoding Variational Bayes](https://arxiv.org/abs/1312.6114) | ||
| + | |||
| + | [Autoencoding beyond pixels using a learned similarity metric](https://arxiv.org/abs/1512.09300) | ||
2017年9月23日 (六) 02:07的版本
2017年学术活动
2017年5月21日
郑文勋：
[x] Yu Su et al., In-Situ Bitmaps Generation and Efficient Data Analysis based on Bitmaps, HPDC 2015.
2017年4月8日
郑文勋：
[x] Nguyen, Anh, Jason Yosinski, and Jeff Clune. "Deep neural networks are easily fooled: High confidence predictions for unrecognizable images." CVPR. 2015.
供选论文清单
TensorFlow系列
CV系列
ASR语音识别
[Quasi-Recurrent Neural Networks](https://arxiv.org/abs/1611.01576)
[Training RNNs as Fast as CNNs](https://arxiv.org/abs/1709.02755)
[Semi-Supervised Classification with Graph Convolutional Networks](https://arxiv.org/abs/1609.02907)
[A Survey on Transfer Learning](http://www3.ntu.edu.sg/home/sinnopan/publications/TLsurvey_0822.pdf)
[How transferable are features in deep neuralnetworks?](https://arxiv.org/abs/1411.1792)
[Progressive Neural Networks](https://arxiv.org/abs/1606.04671)
[One-Shot Learning of Object Categories](http://vision.stanford.edu/documents/Fei-FeiFergusPerona2006.pdf)
[One-shot Learning with Memory-Augmented Neural Networks](https://arxiv.org/abs/1605.06065)
[Auto-Encoding Variational Bayes](https://arxiv.org/abs/1312.6114)
[Autoencoding beyond pixels using a learned similarity metric](https://arxiv.org/abs/1512.09300)
