符号回归论文趋势 2023–2026
方程发现
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 316 篇被归入该主题的论文。
主要结论
- 符号回归论文从 2023 年的 63 篇增长到 2026 年的 97 篇，三年间扩大到约 1.5 倍。
- NeurIPS 是发符号回归论文最多的会议，2023–2026 年共 118 篇，占四个会议总量的 37%。
- 交叉方向里涨得最快的是理论 · learning theory：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 10 篇。
- 在「程序综合」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的定理证明是 13 倍，符号回归是 1.5 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 22 | 17 | 21 | 3 | 63 |
| 2024 | 32 | 15 | 24 | 10 | 81 |
| 2025 | 30 | 22 | 21 | 2 | 75 |
| 2026 | 34 | 24 | 36 | 3 | 97 |
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 2026Conformal Prediction for Distribution-to-Distribution Regression
- ICML 2026Approximation Bounds for Transformer Networks with Application to Regression
- ICLR 2026Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
- CVPR 2026CoLoR The Devil is in Scene Coordinate Regression for Large-Scale
- NeurIPS 2025Ascent Fails to Forget
- ICML 2025Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
- ICLR 2025A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
- CVPR 2025R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization
- NeurIPS 2024Distributed Sparse Regression via Penalization
- ICML 2024$H$-Consistency Guarantees for Regression
- ICLR 2024Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
- CVPR 2024Map-Relative Pose Regression for Visual Re-Localization
- NeurIPS 2023Collaboratively Learning Linear Models with Structured Missing Data
- ICML 2023A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee
- ICLR 2023Fast Nonlinear Vector Quantile Regression
- CVPR 2023DistilPose: Tokenized Pose Regression With Heatmap Distillation
- NeurIPS 2026DASS: A Solver-Agnostic Dynamic Auxiliary Search Strategy for Symbolic Regression
- ICML 2026AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
- ICLR 2026GenSR: Symbolic regression based on equation generative space
- CVPR 2026Sparse-View Localization via Online Neural 3D Regression
全部符号回归论文
共 316 篇，第 4 / 7 页
- NeurIPS 2025Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators
- NeurIPS 2025FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
- NeurIPS 2025FIGRDock: Fast Interaction-Guided Regression for Flexible Docking
- NeurIPS 2025Generalization vs Specialization under Concept Shift
- NeurIPS 2025Graph-based Symbolic Regression with Invariance and Constraint Encoding
- NeurIPS 2025Improving Monte Carlo Tree Search for Symbolic Regression
- NeurIPS 2025Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
- NeurIPS 2025Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
- NeurIPS 2025Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
- NeurIPS 2025Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
- NeurIPS 2025Optimal kernel regression bounds under energy-bounded noise
- NeurIPS 2025Optimal Rates in Continual Linear Regression via Increasing Regularization
- NeurIPS 2025Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
- NeurIPS 2025Regularized least squares learning with heavy-tailed noise is minimax optimal
- NeurIPS 2025Risk Bounds For Distributional Regression
- NeurIPS 2025Robust Estimation Under Heterogeneous Corruption Rates
- NeurIPS 2025Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
- NeurIPS 2025Statistical Inference for Gradient Boosting Regression
- NeurIPS 2025SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning
- NeurIPS 2025Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
- NeurIPS 2025TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems
- NeurIPS 2025Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
- CVPR 2024Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
- CVPR 2024Deep Imbalanced Regression via Hierarchical Classification Adjustment
- CVPR 2024Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption
- CVPR 2024Map-Relative Pose Regression for Visual Re-Localization
- CVPR 2024Neural Refinement for Absolute Pose Regression with Feature Synthesis
- CVPR 2024Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector
- CVPR 2024Riemannian Multinomial Logistics Regression for SPD Neural Networks
- CVPR 2024Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction
- CVPR 2024Spatial-Aware Regression for Keypoint Localization
- CVPR 2024ZeroShape: Regression-based Zero-shot Shape Reconstruction
- ICLR 2024An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
- ICLR 2024Conformal Prediction via Regression-as-Classification
- ICLR 2024Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
- ICLR 2024Graphical Multioutput Gaussian Process with Attention
- ICLR 2024How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
- ICLR 2024LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
- ICLR 2024ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
- ICLR 2024Reinforcement Symbolic Regression Machine
- ICLR 2024Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
- ICLR 2024Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
- ICLR 2024SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
- ICLR 2024Spectrally Transformed Kernel Regression
- ICLR 2024SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
- ICLR 2024SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
- ICLR 2024Transformers can optimally learn regression mixture models
- ICML 2024$H$-Consistency Guarantees for Regression
- ICML 2024A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
- ICML 2024Agnostic Sample Compression Schemes for Regression
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查符号回归在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "symbolic-regression"}
常见问题
- 2023–2026 年四大会议一共有多少篇符号回归论文？
- 共 316 篇，按年份分别是 2023 年 63 篇、2024 年 81 篇、2025 年 75 篇、2026 年 97 篇。
- NeurIPS 2026 有多少篇符号回归论文？
- NeurIPS 2026 有 34 篇符号回归论文，上一届是 30 篇。
- ICLR 2026 有多少篇符号回归论文？
- ICLR 2026 有 24 篇符号回归论文，上一届是 22 篇。
- ICML 2026 有多少篇符号回归论文？
- ICML 2026 有 36 篇符号回归论文，上一届是 21 篇。
- CVPR 2026 有多少篇符号回归论文？
- CVPR 2026 有 3 篇符号回归论文，上一届是 2 篇。
- 哪个会议的符号回归论文最多？
- NeurIPS，2023–2026 年共 118 篇。