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..
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
Authors: Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
NeurIPS 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | section 4 will empirically evaluate HLB in classical VSA benchmark tasks, and in two recent deep learning tasks, showing improved performance in each scenario. |
| Researcher Affiliation | Collaboration | 1University of Maryland, Baltimore County,2Booz Allen Hamilton, 3 Laboratory for Physical Sciences |
| Pseudocode | No | No pseudocode or algorithm blocks were explicitly labeled or presented in a structured format. |
| Open Source Code | Yes | Code is available at https://github.com/Future Computing4AI/ Hadamard-derived-Linear-Binding. |
| Open Datasets | Yes | CSPS experimented with 5 datasets MNIST, SVHN, CIFAR-10 (CR10), CIFAR-100 (CR100), and Mini-Image Net (MIN). ... The network is trained on 8 datasets listed in Table 4 from [4] |
| Dataset Splits | Yes | Other than changing the VSA used, we follow the same training, testing, architecture size, and validation procedure of [3]. |
| Hardware Specification | Yes | All the experiments are performed on a single NVIDIA TESLA PH402 GPU with 32GB memory. |
| Software Dependencies | No | The paper mentions 'The Torch HD library [15] is used for implementations of prior methods.' but does not provide specific version numbers for any software dependencies. |
| Experiment Setup | Yes | Other than changing the VSA used, we follow the same training, testing, architecture size, and validation procedure of [3]. |