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].
Learning a Metric Embedding for Face Recognition using the Multibatch Method
Authors: Oren Tadmor, Tal Rosenwein, Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua
NeurIPS 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | A Appendix: Proof of Theorem 1 We ο¬rst show that the estimate is unbiased... This concludes our proof. Lemma 1 Let v 2 Rn be any vector. Then, E s6=t[vsvt] (E In particular, if Ei[vi] = 0 then P s6=t vsvt 0. Proof For simplicity, we use E[v] for Ei[vi] and E[v2] for Ei[v2 |
| Researcher Affiliation | Academia | The provided text is an appendix and does not contain author affiliations or contact information. |
| Pseudocode | No | The provided text is an appendix containing mathematical proofs and does not include pseudocode or algorithm blocks. |
| Open Source Code | No | The provided text is an appendix focusing on a mathematical proof and does not mention the release of open-source code for the methodology. |
| Open Datasets | No | The provided text is an appendix focusing on a mathematical proof and does not provide access information for a publicly available or open dataset. |
| Dataset Splits | No | The provided text is an appendix focusing on a mathematical proof and does not specify dataset splits for training, validation, or testing. |
| Hardware Specification | No | The provided text is an appendix focusing on a mathematical proof and does not provide specific hardware details used for running experiments. |
| Software Dependencies | No | The provided text is an appendix focusing on a mathematical proof and does not provide specific ancillary software details with version numbers. |
| Experiment Setup | No | The provided text is an appendix focusing on a mathematical proof and does not contain specific experimental setup details or hyperparameters. |