Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
A Difference Standardization Method for Mutual Transfer Learning
Authors: Haoqing Xu, Meng Wang, Beilun Wang
ICML 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We validate the method s performance using both synthetic and real-world data. Compared to previous methods, Diff S demonstrates a speed-up of approximately 3000 times that of similar methods and achieves the same accurate learnability structure estimation. |
| Researcher Affiliation | Academia | 1School of Computer Science and Engineering, Southeast University, Nanjing 210096, China 2Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China. |
| Pseudocode | Yes | Algorithm 1 Diff S ... Algorithm 2 Learnability Structure Recovering Ψ |
| Open Source Code | No | The paper states "We implement Diff S by Matlab, consistent with other baselines" but does not provide any specific link to source code or explicitly state that the code is publicly available. |
| Open Datasets | Yes | We apply Diff S on the NOAA n Clim Div Database1 (Vose et al., 2014) and Microarray Data (Wille et al., 2004). 1https://www.ncei.noaa.gov/access/ metadata/landing-page/bin/iso?id=gov.noaa. ncdc:C00005 |
| Dataset Splits | Yes | All M domains are randomly splited into training set, validation set and test set, with the proportion of 7 : 1 : 2. |
| Hardware Specification | Yes | We implement Diff S by Matlab, consistent with other baselines, and conduct experiments on a Linux server with an Intel Xeon Bronze 3204 CPU with up to 12 threads and 32Gi B memory. |
| Software Dependencies | No | The paper states "We implement Diff S by Matlab", but it does not specify a version number for Matlab or any other software dependencies. |
| Experiment Setup | Yes | In the base case settings, we set the number of domains M = 50, the number of subgroups S = 5, the sample size n = 100, the dimension p = q = 10. ... We set ν = 0.001 for Diff S in all cases. For CD Fusion, the BIC tuning procedure optimizes the parameters for 5 times... For k-means, we vary k from 1 to M and choose the best k with the least BIC value. |