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After read through the example, can I simply think that you are trying to train a model to addicted to one target label, so that when predicting non-target samples but added with this noise, the poiso…
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on network, graph, or tabular data.
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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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### Describe the feature
就类似于期刊名称到期刊简称一样，比如会议名称是International Conference on Machine Learning，我希望将它在会议集名称自动转换为ICML
### Additional context
_No response_
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## Keyword: detection
### Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions
- **Authors:** Authors: Yun-Chun Chen, Adithyavairavan Murali, Balakumar Sundaralingam, Wei Ya…
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There was some talk about training a handicap NN in the other issue, however it's already quite long and handi games are offtopic there too. So want to continue that part of the discussion elsewhere. …
Dorus updated
6 years ago
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Hi, could you also include our paper "Explainable Graph Neural Networks Under Fire" (https://arxiv.org/abs/2406.06417)? Our paper is one of the first studies which show that post-hoc graph explanation…
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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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## Keyword: metric learning
### ShufaNet: Classification method for calligraphers who have reached the professional level
- **Authors:** Ge Yunfei, Diao Changyu, Li Min, Yu Ruohan, Qiu Linshan, Xu…