Multilabel reductions: what is my loss optimising?
Authors: Aditya K. Menon, Ankit Singh Rawat, Sashank Reddi, Sanjiv Kumar
NeurIPS 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We empirically validate our results, demonstrating scenarios where normalised reductions yield recall gains over unnormalised counterparts. and 6 Experimental validation We now present empirical results validating the preceding theory. |
| Researcher Affiliation | Industry | Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, and Sanjiv Kumar Google Research New York, NY 10011 {adityakmenon, sashank, ankitsrawat, sanjivk}@google.com |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statements about open-source code availability or links to a code repository for the described methodology. |
| Open Datasets | No | The authors state they 'construct a synthetic dataset' and 'generate a training sample of 10^4 (instance, label) pairs,' but do not provide concrete access information (link, DOI, citation) for a publicly available version of this dataset or the code to generate it. |
| Dataset Splits | No | The paper states, 'we generate a training sample of 10^4 (instance, label) pairs' and 'compute their precision and recall on a test sample of 10^3 (instance, label) pairs,' but does not mention a validation set or explicit split percentages for all splits. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, processor types, or memory amounts) used for running its experiments. |
| Software Dependencies | No | The paper mentions using a 'linear model' and 'softmax cross-entropy loss' but does not provide specific software library names with version numbers or other ancillary software details needed to replicate the experiment. |
| Experiment Setup | No | The paper states 'We use a linear model for our scorer f, and the softmax cross-entropy loss for ℓMC,' but it does not provide specific experimental setup details such as hyperparameter values, training configurations, or system-level settings. |