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..
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
Authors: Zinan Lin, Vyas Sekar, Giulia Fanti
NeurIPS 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Theoretically, we show that BSSN gives better gradient control than SN. Empirically, we demonstrate that it outperforms SN in sample quality and training stability on several benchmark datasets. |
| Researcher Affiliation | Academia | Zinan Lin Carnegie Mellon University Pittsburgh, PA 15213 EMAIL Vyas Sekar Carnegie Mellon University Pittsburgh, PA 15213 EMAIL Giulia Fanti Carnegie Mellon University Pittsburgh, PA 15213 EMAIL |
| Pseudocode | No | The paper describes procedures but does not include a clearly labeled 'Pseudocode' or 'Algorithm' block or figure. |
| Open Source Code | Yes | The code for reproducing the results is at https://github.com/fjxmlzn/BSN. |
| Open Datasets | Yes | More specifically, we conducts experiments on CIFAR10, STL10, Celeb A, and Image Net (ILSVRC2012) |
| Dataset Splits | Yes | All experimental details are attached in Apps. N to S. |
| Hardware Specification | Yes | Did you include the total amount of compute and the type of resources used (e.g., type of GPUs, internal cluster, or cloud provider)? [Yes] See App. T. |
| Software Dependencies | No | The paper refers to its open-source code repository for reproducibility details ('See https://github.com/fjxmlzn/BSN'), but the provided text does not explicitly list specific software dependencies with version numbers. |
| Experiment Setup | Yes | All experimental details are attached in Apps. N to S. |