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..
Active Learning of Classifiers with Label and Seed Queries
Authors: Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
NeurIPS 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This is a purely theoretical work with no direct societal impact, neither positive nor negative. |
| Researcher Affiliation | Collaboration | Marco Bressan Dept. of CS, Univ. of Milan, Italy EMAIL Nicolò Cesa-Bianchi DSRC & Dept. of CS, Univ. of Milan, Italy EMAIL Silvio Lattanzi Google EMAIL Andrea Paudice Dept. of CS, Univ. of Milan, Italy & Istituto Italiano di Tecnologia, Italy EMAIL Maximilian Thiessen Research Unit ML, TU Wien, Austria EMAIL |
| Pseudocode | Yes | Algorithm 1: Round(X, k) |
| Open Source Code | No | No statement or link providing concrete access to source code for the methodology described in the paper was found. The paper is purely theoretical. |
| Open Datasets | No | The paper is purely theoretical and does not involve experimental evaluation on datasets, thus no dataset access information is provided. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments, so no training, validation, or test dataset splits are provided. |
| Hardware Specification | No | The paper is purely theoretical and does not report on experiments, thus no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is purely theoretical and does not report on experiments, thus no specific software dependencies with version numbers are provided. |
| Experiment Setup | No | The paper is purely theoretical and does not report on experiments, thus no specific experimental setup details like hyperparameters are provided. |