Incremental Learning Framework Configuration Parameters

Jiangxue Tian published a configuration file for an incremental learning framework on figshare in June 2026. The dataset is a 5.5 KB XLS file. Its specific contents and row count are not detailed in the available metadata.

Use Cases

• Benchmarking incremental learning algorithms based on the provided configuration parameters.
• Reproducing experiments that utilize the specified incremental learning framework.
• Analyzing the impact of different hyperparameter settings on model performance in continual learning scenarios.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Available under a permissive CC-BY-4.0 license for reuse and modification.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Jiangxue Tian via figshare

Freshness

Last updated 2026-06-02 17:31:42; freshness should be verified.