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..
What Makes Objects Similar: A Unified Multi-Metric Learning Approach
Authors: Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou
NeurIPS 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments on diverse applications exhibit the superior classification performance and comprehensibility of UM2L. Visualization results also validate its ability on physical meanings discovery. |
| Researcher Affiliation | Academia | Han-Jia Ye De-Chuan Zhan Xue-Min Si Yuan Jiang Zhi-Hua Zhou National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China EMAIL |
| Pseudocode | No | The paper presents mathematical formulations and derivations, but does not include a distinct pseudocode block or an explicitly labeled algorithm section. |
| Open Source Code | No | The paper does not provide any specific links to source code repositories or explicitly state that the code will be made publicly available. |
| Open Datasets | Yes | Social linkages come from 6 real world Facebook network datasets from [11]. |
| Dataset Splits | Yes | In each trial, 70% of instances are used for training, and the remaining part is for test. Cross-validation is employed for parameters tuning. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for running the experiments (e.g., CPU, GPU models, memory, or cloud instance types). |
| Software Dependencies | No | The paper mentions the use of 'FISTA [2]' (an algorithm) and 'accelerated projected gradient descent method', and 'CPLEX' (a solver) but does not provide specific version numbers for any software or libraries used. |
| Experiment Setup | Yes | Triplets are constructed with 3 targets and 10 impostors with Euclidean nearest neighbors. |