Deep Multi-View Concept Learning
Authors: Cai Xu, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang
IJCAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments conducted on image and document datasets show that DMCL performs well and outperforms baseline methods. |
| Researcher Affiliation | Academia | State Key Lab of ISN, School of Computer Science and Technology, Xidian University School of Computer Science and Technology, Xidian University College of Computer Science and Technology, Henan Polytechnic University {cxu 3@stu., zyguan@, ywzhao@mail., yfniu@stu., qwang@}xidian.edu.cn, wzhenry@eyou.com |
| Pseudocode | Yes | Algorithm 1: Optimization of DMCL; Algorithm 2: Composite Gradient Mapping |
| Open Source Code | No | The paper does not provide concrete access to source code, such as a repository link or an explicit statement of code release in supplementary materials. |
| Open Datasets | Yes | Reuters [Amini et al., 2009]. It consists of 111740 documents...; Image Net [Deng et al., 2009]. It is a well known realworld image database... |
| Dataset Splits | Yes | We use the holdout method [Han et al., 2011] for evaluation and tune model parameters by cross-validation on the training set. For each dataset, we randomly split the data items for each category and use 50% for training while the remaining 50% are reserved for test. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory, or cloud instances) used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers (e.g., library names with versions). |
| Experiment Setup | Yes | Based on the results, we set α = 100, β = 0.015 and γ = 0.005 in other experiments. ... The layer sizes are set to [300 200 125]. |