Tabular Deep Learning papers, 2023–2026

Key findings

• Tabular Deep Learning fell from 150 papers in 2023 to 33 in 2026, so interest is cooling.
• NeurIPS publishes the most Tabular Deep Learning work: 133 papers from 2023 to 2026, 62% of the four-venue total.
• The fastest-growing overlap is with Simulation for Driving: papers tagged with both rose from 3 in 2023 to 6 in 2026.
• Among the 5 topics under Graph and Structured Data, it ranks #5 by 2026 paper count; the fastest grower in the group, Time Series, is up 3.2x versus 0.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Coherent Routing in Decision Trees: Phase-Interference Learning for Interpretable Tabular Prediction
• ICML 2026Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity
• ICLR 2026Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
• CVPR 2026MultiModalPFN Extending Prior-Data Fitted Networks for Multimodal Tabular Learning
• NeurIPS 2025ConTextTab: A Semantics-Aware Tabular In-Context Learner
• ICML 2025Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data
• ICLR 2025Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
• NeurIPS 2024WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata
• ICML 2024BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
• ICLR 2024GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
• NeurIPS 2023Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement
• ICML 2023Compressing Tabular Data via Latent Variable Estimation
• ICLR 2023TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
• NeurIPS 2026LLM-Enhanced Random Forests in Orthogonal Hyperbolic Subspaces for Tabular Learning
• ICML 2026FedHPro: Federated Hyper-Prototype Learning via Gradient Matching
• NeurIPS 2025Feature-aware Modulation for Learning from Temporal Tabular Data
• ICML 2025TabFlex: Scaling Tabular Learning to Millions with Linear Attention
• ICLR 2025SAVA: Scalable Learning-Agnostic Data Valuation
• NeurIPS 2024Evaluating language models as risk scores
• ICML 2024Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images

All Tabular Deep Learning papers

133 papers, page 1 of 3

1. NeurIPS 2026Coherent Routing in Decision Trees: Phase-Interference Learning for Interpretable Tabular Prediction
2. NeurIPS 2026Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs
3. NeurIPS 2026LLM-Enhanced Random Forests in Orthogonal Hyperbolic Subspaces for Tabular Learning
4. NeurIPS 2026STRABLE: Benchmarking Tabular Machine Learning with Strings
5. NeurIPS 2026Strengthening LLMs for Tabular Prediction with Structural Priors
6. NeurIPS 2026TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning
7. NeurIPS 2026TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering
8. NeurIPS 2026TabK: Amortized Bayesian Estimation of the Number of Clusters in Tabular Data
9. NeurIPS 2026When to Trust a PFN: Detecting Harmful Shift in Tabular Foundation Models
10. NeurIPS 2025CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
11. NeurIPS 2025ConTextTab: A Semantics-Aware Tabular In-Context Learner
12. NeurIPS 2025Feature-aware Modulation for Learning from Temporal Tabular Data
13. NeurIPS 2025Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs
14. NeurIPS 2025TabArena: A Living Benchmark for Machine Learning on Tabular Data
15. NeurIPS 2024A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
16. NeurIPS 2024Evaluating language models as risk scores
17. NeurIPS 2024Interpretable Mesomorphic Networks for Tabular Data
18. NeurIPS 2024WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata
19. NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
20. NeurIPS 2023$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning
21. NeurIPS 2023A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
22. NeurIPS 2023A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
23. NeurIPS 2023A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
24. NeurIPS 2023A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
25. NeurIPS 2023A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
26. NeurIPS 2023A Variational Perspective on High-Resolution ODEs
27. NeurIPS 2023Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism
28. NeurIPS 2023Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement
29. NeurIPS 2023Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
30. NeurIPS 2023Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
31. NeurIPS 2023An Inductive Bias for Tabular Deep Learning
32. NeurIPS 2023An Information Theory Perspective on Variance-Invariance-Covariance Regularization
33. NeurIPS 2023Anchor Data Augmentation
34. NeurIPS 2023Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
35. NeurIPS 2023Attacks on Online Learners: a Teacher-Student Analysis
36. NeurIPS 2023BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking
37. NeurIPS 2023Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
38. NeurIPS 2023Benchmarking Distribution Shift in Tabular Data with TableShift
39. NeurIPS 2023Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends
40. NeurIPS 2023BIOT: Biosignal Transformer for Cross-data Learning in the Wild
41. NeurIPS 2023CBD: A Certified Backdoor Detector Based on Local Dominant Probability
42. NeurIPS 2023Characteristic Circuits
43. NeurIPS 2023Characterizing Out-of-Distribution Error via Optimal Transport
44. NeurIPS 2023Collaborative Learning via Prediction Consensus
45. NeurIPS 2023Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time
46. NeurIPS 2023Convergence Analysis of Sequential Federated Learning on Heterogeneous Data
47. NeurIPS 2023Convolution Monge Mapping Normalization for learning on sleep data
48. NeurIPS 2023CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
49. NeurIPS 2023Data Quality in Imitation Learning
50. NeurIPS 2023Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances

FAQ

How many Tabular Deep Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

214 in total: 150 in 2023, 17 in 2024, 14 in 2025, 33 in 2026.

How many Tabular Deep Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 9 Tabular Deep Learning papers, versus 5 the year before.

How many Tabular Deep Learning papers are at ICLR 2026?

ICLR 2026 has 1 Tabular Deep Learning papers, versus 6 the year before.

How many Tabular Deep Learning papers are at ICML 2026?

ICML 2026 has 22 Tabular Deep Learning papers, versus 3 the year before.

How many Tabular Deep Learning papers are at CVPR 2026?

CVPR 2026 has 1 Tabular Deep Learning papers.

Which conference publishes the most Tabular Deep Learning papers?

NeurIPS, with 133 papers from 2023 to 2026.