Discriminative Robust Transformation Learning
Authors: Jiaji Huang, Qiang Qiu, Guillermo Sapiro, Robert Calderbank
NeurIPS 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results obtained on benchmark datasets, such as labeled faces in the wild, demonstrate the value of being able to balance discrimination and robustness. |
| Researcher Affiliation | Academia | Department of Electrical Engineering, Duke University Durham, NC 27708 {jiaji.huang,qiang.qiu,guillermo.sapiro,robert.calderbank}@duke.edu |
| Pseudocode | Yes | Algorithm 1 Gradient descent solver for Euc-DRT |
| Open Source Code | No | The paper does not provide an explicit statement or link for the open-source code of their methodology. |
| Open Datasets | Yes | Experimental results obtained on benchmark datasets, such as labeled faces in the wild, demonstrate the value of being able to balance discrimination and robustness. ... We apply a more sophisticated convolutional neural network to the MNIST dataset. ... We train a deep network on the WDRef dataset |
| Dataset Splits | No | The paper mentions training and testing sets, but does not explicitly provide details about a validation set split (percentages or counts). |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., CPU, GPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper mentions using a "D-layer neural network" and "Le Net" structure but does not provide specific version numbers for any software dependencies or libraries. |
| Experiment Setup | Yes | We use Gaussian random variables to initialize α, then, on the randomly transformed data, we set t(1) (t( 1)) to be the average intra-class (inter-class) pairwise distance. ...We calculate the diameter γ of the local regions NB indirectly, using the κ-nearest neighbors of each training sample to define a local neighborhood. ...We consider λ = 1, 0.5, 0.25...We use κ = 7 nearest neighbors to define local regions in Euc-DRT. ...Table 3: Implementation details of the neural network for MNIST classification. ...Weight decay (conventional Frobenius norm regularization) is employed in both DF and DML... |