Two new papers were announced and added to the list in README:
- (2024) TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
- (2024) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
Two new papers were announced and added to the list in README: