tabular data
Data structured in tables, consisting of rows and columns, often used in traditional statistical analysis and machine learning tasks.
- CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
- Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data
- Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
- Empowering Decision Trees via Shape Function Branching
- EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
- Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
- LLM Meeting Decision Trees on Tabular Data
- MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
- Private Evolution Converges
- RADAR: Benchmarking Language Models on Imperfect Tabular Data
- Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
- Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
- TabArena: A Living Benchmark for Machine Learning on Tabular Data
- Table as a Modality for Large Language Models
- Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
- ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data