Learning From Multi-Dimensional Partial Labels
Authors: Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen
IJCAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Comprehensive experiments on both synthetic and realworld datasets validate the effectiveness of our proposals. |
| Researcher Affiliation | Academia | 1Key Lab of Intelligent Computing Based Big Data of Zhejiang Province, Zhejiang University 2College of Computer Science and Technology, Zhejiang University 3School of Computer Science, Wuhan University |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link indicating that the source code for the methodology is openly available. |
| Open Datasets | Yes | The MDC datasets are collected from UCI repository [Dheeru and Karra Taniskidou, 2017]: 1) Bridges estimates bridge properties from specific constraints; 2) WQplant and WQanimals determine the plant and animal species in Slovenian rivers; 3) Flare predicts number of times that certain types of solar flare occurred within 24 hours period; 4) Thyroid determines types of thyroid problems based on patient information. |
| Dataset Splits | No | The paper states, 'All the datasets are randomly split in to 80% training and 20% testing.' However, it does not explicitly mention a separate validation split. |
| Hardware Specification | Yes | All the computations are performed on a workstation with an i7-5930K CPU, a TITAN Xp GPU and 64GB main memory running Linux platform. |
| Software Dependencies | No | The paper mentions models like VGG-19 and methods like CLPL, but it does not specify any software dependencies with version numbers (e.g., Python 3.x, PyTorch 1.x). |
| Experiment Setup | Yes | The number of nearest neighbors is set as k = 10 for all the k NN-based approaches. Following the experimental setting in [Fang and Zhang, 2019], we set thr = 0.9 and α = 0.95 for P-VLS. Finally, following [Shen et al., 2018], the parameters of Co H are set as α = 100 and d = 10. |