DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes
Authors: Tianqi Wei, Rana Alkhoury Maroun, Qinghai Guo, Barbara Webb
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments show that the accuracy of searching for nearest neighbours is improved, although performance is dependent on the parameter values and datasets used. |
| Researcher Affiliation | Collaboration | Tianqi Wei School of Informatics University of Edinburgh Edinburgh, UK EH8 9AB tianqi-wei@outlook.com Rana Alkhoury Maroun School of Informatics University of Edinburgh Edinburgh, UK EH8 9AB rana.e.elkhoury@gmail.com Qinghai Guo ACS Lab Huawei Technologies Shenzhen, China guoqinghai@huawei.com Barbara Webb School of Informatics University of Edinburgh Edinburgh, UK EH8 9AB B.Webb@ed.ac.uk |
| Pseudocode | Yes | Algorithm 1 Connection development for Method 1 Algorithm 2 Connection development for Method 2 and 3 |
| Open Source Code | Yes | The code is available in the supplementary materials. The code is available on Git Hub https://github.com/Insect Robotics/Dev Fly Publication.git. |
| Open Datasets | Yes | The datasets are MNIST (CC BY-SA 3.0), CIFAR-10 (MIT), SIFT10M and Glo Ve (Apache-2.0). MNIST (Le Cun et al., 1998) is a dataset... CIFAR-10 (Krizhevsky, 2009) is a dataset... SIFT10M (Jegou et al., 2010) also contains... The Glo Ve dataset (Pennington et al., 2014) contains... |
| Dataset Splits | No | The paper mentions 10000 samples used for training and 1000 for querying (testing), but does not specify a separate validation set or its split percentage/count. |
| Hardware Specification | Yes | Tested on a computer running Ubuntu 20.04 with Intel Core i9-10940X CPU with 28 hyperthreading logical cores. |
| Software Dependencies | No | The code was implemented in Python and most of the code for testing these two methods were shared. (No specific Python version or library versions mentioned). |
| Experiment Setup | Yes | We report the results for the three Dev Fly methods with different hyperparameters, varying k, m and α. In these experiments, α = 0.1, sparseness m/k = 20, but k varies. |