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 [1].
On the Similarity between the Laplace and Neural Tangent Kernels
Authors: Amnon Geifman, Abhay Yadav, Yoni Kasten, Meirav Galun, David Jacobs, Basri Ronen
NeurIPS 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we provide experiments on real data comparing NTK and the Laplace kernel, along with a larger class of Ξ³-exponential kernels. We show that these perform almost identically. |
| Researcher Affiliation | Academia | 1Department of Computer Science, Weizmann Institute of Science, Rehovot, Israel 2Department of Computer Science, University of Maryland, College Park, MD |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks in its main text. |
| Open Source Code | No | The paper does not contain any explicit statements about releasing source code or direct links to a code repository for the methodology described. |
| Open Datasets | Yes | We compare methods using the same set of 90 small scale UCI datasets... Million Songs [10] SUSY [40] HIGGS [40]... We applied the kernel (using the homogeneous versions of the Laplace, Gaussian and Ξ³-exponential kernels) to the Cifar-10 dataset |
| Dataset Splits | Yes | We searched for hyperparameters based on a small validation dataset for all the methods and used the standard train/test partition provided on the UCI repository. ... The two columns show results with training on the full dataset and on the ο¬rst 2000 examples. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., CPU/GPU models, memory specifications) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies, libraries, or their version numbers used in the experiments. |
| Experiment Setup | No | The paper mentions that 'Experimental details are provided in the supplementary material' (Section 4) and discusses the number of hyperparameters searched, but it does not provide specific hyperparameter values or detailed system-level training settings in the main text. |