Towards Enabling Learnware to Handle Unseen Jobs
Authors: Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou10964-10972
AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Empirical studies also validate the efficacy of our approach. We also validate the effectiveness of our proposal by extensive experiments. This section examines the efficacy of our method, where we compare our method with contenders in various scenarios. |
| Researcher Affiliation | Academia | Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China {zhangyj, yanyh, zhaop, zhouzh}@lamda.nju.edu.cn |
| Pseudocode | Yes | Detailed implementations of the MPE estimator (Algorithm 1) and selector training (Algorithm 2) are provided in Appendix A. |
| Open Source Code | No | The paper does not provide an explicit statement or link for the open-sourcing of the code for the described methodology. |
| Open Datasets | Yes | The evaluation is conducted on three widely used benchmark datasets: CIFAR-100 (Krizhevsky 2009), Newsgroup20 (Joachims 1997) and the ETL character dataset. |
| Dataset Splits | No | The paper mentions "training instances" and "testing data" but does not provide specific percentages, counts, or references to predefined train/validation/test dataset splits. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., exact GPU/CPU models, processor types, or memory amounts) used for running its experiments. |
| Software Dependencies | No | The paper mentions using a "Gaussian kernel" but does not specify any software dependencies with version numbers (e.g., library or solver names with versions). |
| Experiment Setup | Yes | The reduced set size is M = 10 which is very tiny size. As for our method, we set ν = 0.25 for the MPE estimator and choose the square loss ψ(z) = (1 z)2/4 for the job selector. |