The Gyro-Structure of Some Matrix Manifolds
Authors: Xuan Son Nguyen
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | To showcase our approach, we propose new methods for human activity understanding and question answering. We refer the interested reader to the supplemental material for more applications. We use three datasets, i.e., HDM05 [16], FPHA [13], and NTU RGB+D 60 (NTU60) [38]. |
| Researcher Affiliation | Academia | Xuan Son Nguyen ETIS, UMR 8051, CY Cergy Paris Université, ENSEA, CNRS, Cergy, France xuan-son.nguyen@ensea.fr |
| Pseudocode | No | The paper does not contain explicitly labeled pseudocode or algorithm blocks. |
| Open Source Code | Yes | Code available at https://github.com/spratmnt/qa. |
| Open Datasets | Yes | We use three datasets, i.e., HDM05 [16], FPHA [13], and NTU RGB+D 60 (NTU60) [38]. We use two datasets, i.e., Trec QA [47] (clean version) and Wiki QA [50]. |
| Dataset Splits | No | The paper states that training details, including data splits, are provided in the supplemental material, but does not explicitly detail specific percentages or counts for training, validation, and test splits within the main text. |
| Hardware Specification | No | The paper states that the total amount of compute and type of resources used are included in the supplemental material, but no specific hardware details (e.g., GPU/CPU models) are provided in the main text. |
| Software Dependencies | No | The paper does not explicitly list specific software dependencies with version numbers in the main text. |
| Experiment Setup | No | The paper states that the experimental settings, including implementation details and how hyperparameters were chosen, can be found in the supplemental material, but does not include specific hyperparameter values in the main text. |