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..
On the Value of Target Data in Transfer Learning
Authors: Steve Hanneke, Samory Kpotufe
NeurIPS 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Finally, the procedures described in this work remain of a theoretical nature, but yield new insights into how various practical decisions in transfer can be made near-optimally in a data-driven fashion. |
| Researcher Affiliation | Academia | Steve Hanneke Toyota Technological Institute at Chicago EMAIL Samory Kpotufe Columbia University, Statistics EMAIL |
| Pseudocode | Yes | Algorithm 1: Minimize ˆRSP (h) subject to ˆRSQ(h) ˆRSQ(ˆh SQ) c ˆPSQ(h 6= ˆh SQ)An Q + c An Q (6) |
| Open Source Code | No | The paper describes theoretical algorithms and does not provide any links or statements about the availability of source code for these algorithms. |
| Open Datasets | No | The paper is theoretical and does not mention using or providing access to any specific datasets for training or other empirical evaluation. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments, therefore no training, validation, or test dataset splits are specified. |
| Hardware Specification | No | The paper does not conduct experiments and therefore does not provide any details about hardware specifications. |
| Software Dependencies | No | The paper does not mention any specific software dependencies with version numbers for reproducibility, as it focuses on theoretical contributions. |
| Experiment Setup | No | The paper is theoretical and does not include details about an experimental setup, such as hyperparameters or training configurations. |