SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training | Paper Citation Record

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TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second cites this paper.

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 13

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TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data cites this paper.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 43

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APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning cites this paper.

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 32

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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset cites this paper.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 31

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DOFEN: Deep Oblivious Forest ENsemble cites this paper.

DOFEN: Deep Oblivious Forest ENsemble SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 22

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ORIGAMI: A generative transformer architecture for predictions from semi-structured data cites this paper.

ORIGAMI: A generative transformer architecture for predictions from semi-structured data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 35

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Zero-Shot Decision Tree Construction via Large Language Models cites this paper.

Zero-Shot Decision Tree Construction via Large Language Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 23

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TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments cites this paper.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 52

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Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes cites this paper.

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 29

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Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models cites this paper.

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 9

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(GG) MoE vs. MLP on Tabular Data cites this paper.

(GG) MoE vs. MLP on Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 11

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Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer cites this paper.

Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 71

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Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning cites this paper.

Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 32

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Griffin: Towards a Graph-Centric Relational Database Foundation Model cites this paper.

Griffin: Towards a Graph-Centric Relational Database Foundation Model SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 29

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification cites this paper.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 31

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Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems cites this paper.

Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 7

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An Extensive Study on Text Serialization Formats and Methods cites this paper.

An Extensive Study on Text Serialization Formats and Methods SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 2000

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MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains cites this paper.

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 41

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When Shift Happens - Confounding Is to Blame cites this paper.

When Shift Happens - Confounding Is to Blame SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 76

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TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning cites this paper.

TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 25

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Observation 91f0b308-31c0-4e6c-bd6e-d2337e14594e · inbound

Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL cites this paper.

Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 34

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TabFlex: Scaling Tabular Learning to Millions with Linear Attention cites this paper.

TabFlex: Scaling Tabular Learning to Millions with Linear Attention SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 63

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On Finetuning Tabular Foundation Models cites this paper.

On Finetuning Tabular Foundation Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 2025

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LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes cites this paper.

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 41

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Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks cites this paper.

Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 49

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City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data cites this paper.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 1990

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MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts cites this paper.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 17

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M3DMap: Object-aware Multimodal 3D Mapping for Dynamic Environments cites this paper.

M3DMap: Object-aware Multimodal 3D Mapping for Dynamic Environments SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 27

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TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression cites this paper.

TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 27

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Unveiling the Role of Data Uncertainty in Tabular Deep Learning cites this paper.

Unveiling the Role of Data Uncertainty in Tabular Deep Learning SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 27

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Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models cites this paper.

Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 17

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LakeMLB: Data Lake Machine Learning Benchmark cites this paper.

LakeMLB: Data Lake Machine Learning Benchmark SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 26

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No Need to Train Your RDB Foundation Model cites this paper.

No Need to Train Your RDB Foundation Model SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 22

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MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning cites this paper.

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 52

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FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data cites this paper.

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 1

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Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data cites this paper.

Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 37

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Observation 52ac7b6c-a13c-4d01-ae01-4f236edd151b · inbound

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models cites this paper.

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 20

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From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning cites this paper.

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 24

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Weight-Informed Self-Explaining Clustering for Mixed-Type Tabular Data cites this paper.

Weight-Informed Self-Explaining Clustering for Mixed-Type Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 6

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PRAGMA: Revolut Foundation Model cites this paper.

PRAGMA: Revolut Foundation Model SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 15

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Observation c8ef2a02-7a73-4312-96a6-ea3877b5e8d1 · inbound

Integrating SAINT with Tree-Based Models: A Case Study in Employee Attrition Prediction cites this paper.

Integrating SAINT with Tree-Based Models: A Case Study in Employee Attrition Prediction SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 17

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43155a87-5c6e-4c63-920d-ca0a14b914bb · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 7

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Observation 4a1c5121-36d0-4a52-8bf7-15c5ee82b82c · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 7

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Observation c9dff112-928b-44bc-8054-b304a95a0689 · inbound

Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks cites this paper.

Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:42:43.724488Z

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Observation 794cadc7-cc7d-400b-9690-d988d9bc6555 · inbound

Foundation Models for Credit Risk Prediction: A Game Changer? cites this paper.

Foundation Models for Credit Risk Prediction: A Game Changer? SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 159

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Observation b865807b-90d0-4c9f-a99f-c9872e94b6b5 · inbound

Foundation Models for Credit Risk Prediction: A Game Changer? cites this paper.

Foundation Models for Credit Risk Prediction: A Game Changer? SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 91

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SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction cites this paper.

SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:23:16.996607Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36e93974-3e91-4d64-97b0-e6c39f03fefa · inbound

TabPFN-MT: A Natively Multitask In-Context Learner for Tabular Data cites this paper.

TabPFN-MT: A Natively Multitask In-Context Learner for Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:44:02.640738Z

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Observation 8bf0473c-e909-4088-8eac-4635773f2aef · inbound

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases cites this paper.

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:22.270223Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75a97833-7c1d-4093-8819-d28ef7c1832e · inbound

The Case for Model Science: Verify, Explore, Steer, Refine cites this paper.

The Case for Model Science: Verify, Explore, Steer, Refine SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 253

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T21:16:13.560939Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 15e4447a-44f8-48e0-b1d5-38550a9258a8 · inbound

RowNet: A Memory Transformer for Tabular Regression cites this paper.

RowNet: A Memory Transformer for Tabular Regression SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:56:44.722766Z

Source-reported events for the cited work

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Observation 968fd8b0-8aab-475d-b61f-4d6e928bd6d6 · inbound

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders cites this paper.

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:07:30.392514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5abf0ba-7f2d-40f6-a5b9-d03d17877b0b · inbound

Pattern-Aware Graph Neural Networks for Handling Missing Data cites this paper.

Pattern-Aware Graph Neural Networks for Handling Missing Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T05:50:23.546639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adcb6f53-0945-4263-a883-69ce0c5fa838 · inbound

TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data cites this paper.

TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T00:36:05.289408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6cd63a1-0ffa-4ee3-b5d5-6cc64fa5a838 · inbound

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification cites this paper.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T05:18:46.407357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb75207-ff8c-42cc-be28-07974d0e5287 · inbound

Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models cites this paper.

Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T00:54:47.346496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 697abd10-2892-4644-922a-192bce44ee4a · inbound

Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions cites this paper.

Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 156

Resolution: unresolved; no resolver link, observed 2026-07-30T15:56:46.035459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3babd14-86e5-468b-9bdf-05c805d7abe9 · inbound

Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models cites this paper.

Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T09:03:19.680449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d5ab4a1-96b5-496d-a1f9-0aca8ba942f2 · inbound

Adaptive Intrusion Detection System using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial Investigation cites this paper.

Adaptive Intrusion Detection System using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial Investigation SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:59.336455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a4fd7df-3857-47d4-bba4-574a1de2ef6c · inbound

Bootstrap-Conditioned Action Selection with Tabular Foundation Models cites this paper.

Bootstrap-Conditioned Action Selection with Tabular Foundation Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T04:22:19.480860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3763532-113f-43fb-8067-8c0f3696bd2b · inbound

PATH: Next-Interval Prediction via Autoregressive Tree Hierarchy on Tabular Data cites this paper.

PATH: Next-Interval Prediction via Autoregressive Tree Hierarchy on Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T00:32:45.027655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda72f34-e97c-467a-b3ee-aa74a71fe66e · inbound

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training cites this paper.

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T14:23:04.506876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c97313c-c692-462d-bd0d-2d627512e6cd · inbound

HYDRA: Hyperbolic Dynamic Representation Architecture for Kolmogorov-Arnold Networks cites this paper.

HYDRA: Hyperbolic Dynamic Representation Architecture for Kolmogorov-Arnold Networks SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:19:15.730907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers