Tabular Deep Learning papers, 2023–2026
Deep models on tabular data
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 214 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 115 | 6 | 29 | 0 | 150 |
| 2024 | 4 | 4 | 9 | 0 | 17 |
| 2025 | 5 | 6 | 3 | 0 | 14 |
| 2026 | 9 | 1 | 22 | 1 | 33 |
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
214 papers, page 5 of 5
- NeurIPS 2023The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
- NeurIPS 2023The Transient Nature of Emergent In-Context Learning in Transformers
- NeurIPS 2023Tight Risk Bounds for Gradient Descent on Separable Data
- NeurIPS 2023Toward Understanding Generative Data Augmentation
- NeurIPS 2023Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression
- NeurIPS 2023Towards Free Data Selection with General-Purpose Models
- NeurIPS 2023Towards Unbounded Machine Unlearning
- NeurIPS 2023Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings
- NeurIPS 2023Transportability for Bandits with Data from Different Environments
- NeurIPS 2023Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements
- NeurIPS 2023Weakly Coupled Deep Q-Networks
- NeurIPS 2023What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
- NeurIPS 2023When Do Neural Nets Outperform Boosted Trees on Tabular Data?
- NeurIPS 2023Zero-Shot Anomaly Detection via Batch Normalization
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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.