表格深度学习论文趋势 2023–2026

主要结论

• 表格深度学习论文从 2023 年的 150 篇降到 2026 年的 33 篇，热度在回落。
• NeurIPS 是发表格深度学习论文最多的会议，2023–2026 年共 133 篇，占四个会议总量的 62%。
• 交叉方向里涨得最快的是驾驶仿真：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 6 篇。
• 在「图与结构化数据」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的时间序列是 3.2 倍，表格深度学习是 0.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部表格深度学习论文

共 115 篇，第 1 / 3 页

1. NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
2. NeurIPS 2023$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning
3. NeurIPS 2023A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
4. NeurIPS 2023A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
5. NeurIPS 2023A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
6. NeurIPS 2023A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
7. NeurIPS 2023A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
8. NeurIPS 2023A Variational Perspective on High-Resolution ODEs
9. NeurIPS 2023Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism
10. NeurIPS 2023Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement
11. NeurIPS 2023Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
12. NeurIPS 2023Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
13. NeurIPS 2023An Inductive Bias for Tabular Deep Learning
14. NeurIPS 2023An Information Theory Perspective on Variance-Invariance-Covariance Regularization
15. NeurIPS 2023Anchor Data Augmentation
16. NeurIPS 2023Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
17. NeurIPS 2023Attacks on Online Learners: a Teacher-Student Analysis
18. NeurIPS 2023BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking
19. NeurIPS 2023Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
20. NeurIPS 2023Benchmarking Distribution Shift in Tabular Data with TableShift
21. NeurIPS 2023Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends
22. NeurIPS 2023BIOT: Biosignal Transformer for Cross-data Learning in the Wild
23. NeurIPS 2023CBD: A Certified Backdoor Detector Based on Local Dominant Probability
24. NeurIPS 2023Characteristic Circuits
25. NeurIPS 2023Characterizing Out-of-Distribution Error via Optimal Transport
26. NeurIPS 2023Collaborative Learning via Prediction Consensus
27. NeurIPS 2023Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time
28. NeurIPS 2023Convergence Analysis of Sequential Federated Learning on Heterogeneous Data
29. NeurIPS 2023Convolution Monge Mapping Normalization for learning on sleep data
30. NeurIPS 2023CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
31. NeurIPS 2023Data Quality in Imitation Learning
32. NeurIPS 2023Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
33. NeurIPS 2023Data-Informed Geometric Space Selection
34. NeurIPS 2023Deep Fractional Fourier Transform
35. NeurIPS 2023Deep Insights into Noisy Pseudo Labeling on Graph Data
36. NeurIPS 2023Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
37. NeurIPS 2023DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
38. NeurIPS 2023Differentiable sorting for censored time-to-event data.
39. NeurIPS 2023Differentially Private Image Classification by Learning Priors from Random Processes
40. NeurIPS 2023Distributed Personalized Empirical Risk Minimization
41. NeurIPS 2023DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
42. NeurIPS 2023Feature Learning for Interpretable, Performant Decision Trees
43. NeurIPS 2023Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
44. NeurIPS 2023Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
45. NeurIPS 2023Flow Factorized Representation Learning
46. NeurIPS 2023GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference
47. NeurIPS 2023Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
48. NeurIPS 2023Geometric Transformer with Interatomic Positional Encoding
49. NeurIPS 2023Gradient-Based Feature Learning under Structured Data
50. NeurIPS 2023Harnessing Hard Mixed Samples with Decoupled Regularizer

常见问题

2023–2026 年四大会议一共有多少篇表格深度学习论文？

共 214 篇，按年份分别是 2023 年 150 篇、2024 年 17 篇、2025 年 14 篇、2026 年 33 篇。

NeurIPS 2026 有多少篇表格深度学习论文？

NeurIPS 2026 有 9 篇表格深度学习论文，上一届是 5 篇。

ICLR 2026 有多少篇表格深度学习论文？

ICLR 2026 有 1 篇表格深度学习论文，上一届是 6 篇。

ICML 2026 有多少篇表格深度学习论文？

ICML 2026 有 22 篇表格深度学习论文，上一届是 3 篇。

CVPR 2026 有多少篇表格深度学习论文？

CVPR 2026 有 1 篇表格深度学习论文。

哪个会议的表格深度学习论文最多？

NeurIPS，2023–2026 年共 133 篇。