:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Xuan, Wang, Yun, Li, Bo
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2403.00963
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
by: Quan, Xuan-Truong, et al.
Published: (2025)

UTOPIA: Unlearnable Tabular Data via Decoupled Shortcut Embedding
by: He, Jiaming, et al.
Published: (2026)

Universal Embeddings of Tabular Data
by: Franz, Astrid, et al.
Published: (2025)

Deep Feature Embedding for Tabular Data
by: Wu, Yuqian, et al.
Published: (2024)

Adaptive Regularization for Large-Scale Sparse Feature Embedding Models
by: Li, Mang, et al.
Published: (2025)

LLM Embeddings for Deep Learning on Tabular Data
by: Koloski, Boshko, et al.
Published: (2025)

Embedding World Knowledge into Tabular Models: Towards Best Practices for Embedding Pipeline Design
by: Kolomenko, Oksana, et al.
Published: (2026)

LLM Meeting Decision Trees on Tabular Data
by: Ye, Hangting, et al.
Published: (2025)

ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
by: Marszałek, Patryk, et al.
Published: (2025)

Comparing Task-Agnostic Embedding Models for Tabular Data
by: Hoppe, Frederik, et al.
Published: (2025)

Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective
by: Ye, Han-Jia, et al.
Published: (2023)

Linear Dimensionality Reduction for Word Embeddings in Tabular Data Classification
by: Ressel, Liam, et al.
Published: (2025)

Statistical Embeddings for Similarity, Retrieval, and Interpretable Alignment of Numeric Tabular Datasets
by: Kunz, M. Ross, et al.
Published: (2026)

Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks
by: Vogel, Liane, et al.
Published: (2026)

Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification
by: Zyblewski, Paweł
Published: (2024)

EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection
by: Kuo, En-Ya, et al.
Published: (2026)

Unmasking Trees for Tabular Data
by: McCarter, Calvin
Published: (2024)

TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer
by: Li, Jiayu, et al.
Published: (2025)

Tabular Learning: Encoding for Entity and Context Embeddings
by: Reusser, Fredy
Published: (2024)

GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
by: Deng, Rui, et al.
Published: (2025)

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
by: Fang, Zhengyu, et al.
Published: (2024)

TabularMark: Watermarking Tabular Datasets for Machine Learning
by: Zheng, Yihao, et al.
Published: (2024)

Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting
by: Shrestha, Gyanendra, et al.
Published: (2025)

Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers
by: Breejen, Felix den, et al.
Published: (2024)

Representation Learning on Out of Distribution in Tabular Data
by: Ginanjar, Achmad, et al.
Published: (2025)

DR-SNE: Density-Regularized Stochastic Neighbor Embedding
by: Kazanskii, Maksim
Published: (2026)

Rethinking Regularization Methods for Knowledge Graph Completion
by: Li, Linyu, et al.
Published: (2025)

Multi-Agent Debate: A Unified Agentic Framework for Tabular Anomaly Detection
by: Wang, Pinqiao, et al.
Published: (2026)

TabularFM: An Open Framework For Tabular Foundational Models
by: Tran, Quan M., et al.
Published: (2024)

On the Spectral Flattening of Quantized Embeddings
by: Huang, Junlin, et al.
Published: (2026)

Systematic Assessment of Tabular Data Synthesis
by: Du, Yuntao, et al.
Published: (2024)

Learning Generalization and Regularization of Nonhomogeneous Temporal Poisson Processes
by: Van, Son Nguyen, et al.
Published: (2024)

L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing
by: Li, Yun-Peng, et al.
Published: (2026)

Continual Contrastive Learning on Tabular Data with Out of Distribution
by: Ginanjar, Achmad, et al.
Published: (2025)

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
by: Wu, Hong-Wei, et al.
Published: (2024)

Regularized Multi-output Gaussian Convolution Process with Domain Adaptation
by: Xinming, Wang, et al.
Published: (2024)

Data- and Variance-dependent Regret Bounds for Online Tabular MDPs
by: Li, Mingyi, et al.
Published: (2026)

On the Regularization of Learnable Embeddings for Time Series Forecasting
by: Butera, Luca, et al.
Published: (2024)

Bhargava Cube--Inspired Quadratic Regularization for Structured Neural Embeddings
by: Sairam, S, et al.
Published: (2025)

Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning
by: Li, Na, et al.
Published: (2025)