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..
Corruption Robust Active Learning
Authors: Yifang Chen, Simon S. Du, Kevin G. Jamieson
NeurIPS 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We conduct theoretical studies on streaming-based active learning for binary classification under unknown adversarial label corruptions. |
| Researcher Affiliation | Academia | Yifang Chen, Simon S. Du, Kevin Jamieson Paul G. Allen School of Computer Science & Engineering University of Washington, Seattle,WA EMAIL |
| Pseudocode | Yes | Algorithm 1 Robust CAL (modified the elimination condition) |
| Open Source Code | No | The paper does not contain any explicit statements about releasing source code for their proposed method or experiments. |
| Open Datasets | No | This is a theoretical paper that does not describe experiments run on specific datasets for training. It discusses theoretical concepts of samples and label complexity. |
| Dataset Splits | No | This is a theoretical paper and does not describe any dataset splits for experimental validation. |
| Hardware Specification | No | This is a theoretical paper and does not describe any hardware used for running experiments. |
| Software Dependencies | No | This is a theoretical paper and does not mention specific software dependencies with version numbers used for running experiments. |
| Experiment Setup | No | This is a theoretical paper and does not describe an experimental setup with hyperparameters or system-level training settings. |