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..
Self-Paced Learning with Diversity
Authors: Lu Jiang, Deyu Meng, Shoou-I Yu, Zhenzhong Lan, Shiguang Shan, Alexander Hauptmann
NeurIPS 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrate that our method significantly outperforms the conventional SPL on three real-world datasets. Specifically, SPLD achieves the best MAP so far reported in literature on the Hollywood2 and Olympic Sports datasets. |
| Researcher Affiliation | Academia | 1School of Computer Science, Carnegie Mellon University 2School of Mathematics and Statistics, Xi an Jiaotong University 3Institute of Computing Technology, Chinese Academy of Sciences |
| Pseudocode | Yes | Algorithm 1: Algorithm for Solving minv E(w, v; λ, γ). Algorithm 2: Algorithm of Self-Paced Learning with Diversity. |
| Open Source Code | Yes | The code is at (http://www.cs.cmu.edu/~lujiang/spld). |
| Open Datasets | Yes | TRECVID MED13Test, which consists of about 32,000 Internet videos... The official test split released by NIST (National Institute of Standards and Technology) is used [15]. Hollywood2 was collected from 69 different Hollywood movies [21]. ... Olympic Sports consists of athletes practicing different sports collected from You Tube [22]. |
| Dataset Splits | Yes | The parameters of all methods are tuned on the same validation set. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory amounts) used for running its experiments. |
| Software Dependencies | No | Lib Linear is used as the solver in Step 4 of Algorithm 2 due to its robust performance on this task. However, no version number for Lib Linear or other software dependencies is provided. |
| Experiment Setup | Yes | By default, the group membership is generated by the spectral clustering, and the number of groups is set to 64. ... Following SPL [6], the self-paced parameters are updated by absolute values of µ1, µ2 (µ1, µ2 ≥ 1) in Step 6 at the end of every iteration. |