Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
Authors: Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments show that our method achieves satisfactory performances in more practical situations, and its modules can be applied to existing PLL methods to enhance their capabilities. |
| Researcher Affiliation | Academia | 1Tsinghua Shenzhen International Graduate School, Tsinghua University 2Research Center of Artificial Intelligence, Peng Cheng Laboratory |
| Pseudocode | No | Not found. The paper describes the method using text, equations, and figures, but does not include structured pseudocode or algorithm blocks. |
| Open Source Code | No | Not found. The paper does not provide any statement or link regarding the availability of open-source code. |
| Open Datasets | Yes | We evaluate on commonly used benchmarks CIFAR-10 (Krizhevsky, Hinton et al. 2009) and SVHN (Goodfellow et al. 2013) with 10% and 20% partial examples, and CIFAR-100 (Krizhevsky, Hinton et al. 2009) with 20% and 40% partial examples. |
| Dataset Splits | No | Not found. The paper mentions 'training examples' and 'test' sets (in tables), but does not explicitly specify the use of a 'validation' set or provide details on how data is split into training, validation, and test portions for reproducibility. |
| Hardware Specification | No | Not found. The paper does not provide any specific details regarding the hardware used for running experiments. |
| Software Dependencies | No | Not found. The paper does not provide specific version numbers for software dependencies or libraries used in the implementation. |
| Experiment Setup | No | Not found in the main text. The paper states 'Additional details of the experiments can be found in the Appendix,' but does not provide concrete hyperparameter values (e.g., learning rate, batch size, number of epochs, optimizer settings) in the main body. |