通用机器学习 · generalization论文趋势 2023–2026

主要结论

• 通用机器学习 · generalization论文从 2023 年的 136 篇增长到 2026 年的 152 篇，三年间扩大到约 1.1 倍。
• NeurIPS 是发通用机器学习 · generalization论文最多的会议，2023–2026 年共 207 篇，占四个会议总量的 35%。
• 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 3 篇增至 2026 年的 20 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 5；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · generalization是 1.1 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 2026Asymmetric Generalization in Deep CTR Models: A Block-wise Diagnosis
• ICML 2026Anti-causal domain generalization: Leveraging unlabeled data
• ICLR 2026Generalization Below the Edge of Stability: The Role of Data Geometry
• CVPR 2026PriVi Towards a General-Purpose Video Model for Primate Behavior in
• NeurIPS 2025Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
• ICML 2025Causality Inspired Federated Learning for OOD Generalization
• ICLR 2025Federated Domain Generalization with Data-free On-server Matching Gradient
• CVPR 2025Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
• NeurIPS 2024Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
• ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
• ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
• CVPR 2024Disentangled Prompt Representation for Domain Generalization
• NeurIPS 2023A unified framework for information-theoretic generalization bounds
• ICML 2023Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
• ICLR 2023ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
• CVPR 2023AltFreezing for More General Video Face Forgery Detection
• NeurIPS 2026Beyond Average Flatness: Domain-wise Flatness for Domain Generalization
• ICML 2026Are Object-Centric Representations Better at Compositional Generalization?
• ICLR 2026Temporal Generalization: A Reality Check
• CVPR 2026The Golden Subspace Where Efficiency Meets Generalization in Continual Test-Time

全部通用机器学习 · generalization论文

共 174 篇，第 3 / 4 页

101. ICML 2025Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate
102. ICML 2025Stabilizing Sample Similarity in Representation via Mitigating Random Consistency
103. ICML 2025Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?
104. ICML 2025The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
105. ICML 2025Understanding Generalization in Quantum Machine Learning with Margins
106. ICML 2025Universal Length Generalization with Turing Programs
107. ICML 2025Weak-to-Strong Generalization Even in Random Feature Networks, Provably
108. ICML 2025Weight matrices compression based on PDB model in deep neural networks
109. ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
110. ICML 2024Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
111. ICML 2024Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
112. ICML 2024Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
113. ICML 2024DOGE: Domain Reweighting with Generalization Estimation
114. ICML 2024Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
115. ICML 2024Ensemble Pruning for Out-of-distribution Generalization
116. ICML 2024Generalization Analysis for Multi-Label Learning
117. ICML 2024Generalization Analysis of Deep Non-linear Matrix Completion
118. ICML 2024Generalization Analysis of Stochastic Weight Averaging with General Sampling
119. ICML 2024Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation
120. ICML 2024Generalization Error of Graph Neural Networks in the Mean-field Regime
121. ICML 2024Generalization in Kernel Regression Under Realistic Assumptions
122. ICML 2024Generalization to New Sequential Decision Making Tasks with In-Context Learning
123. ICML 2024Graph Structure Extrapolation for Out-of-Distribution Generalization
124. ICML 2024How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
125. ICML 2024Improved Generalization of Weight Space Networks via Augmentations
126. ICML 2024Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
127. ICML 2024Interpretability Illusions in the Generalization of Simplified Models
128. ICML 2024LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
129. ICML 2024Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
130. ICML 2024Non-Vacuous Generalization Bounds for Large Language Models
131. ICML 2024On the Generalization of Equivariant Graph Neural Networks
132. ICML 2024On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
133. ICML 2024Out-of-Domain Generalization in Dynamical Systems Reconstruction
134. ICML 2024Position: Understanding LLMs Requires More Than Statistical Generalization
135. ICML 2024Prediction-powered Generalization of Causal Inferences
136. ICML 2024Slicing Mutual Information Generalization Bounds for Neural Networks
137. ICML 2024SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
138. ICML 2024Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
139. ICML 2024Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
140. ICML 2024Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
141. ICML 2024Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
142. ICML 2023A General Representation Learning Framework with Generalization Performance Guarantees
143. ICML 2023A Generalization of ViT/MLP-Mixer to Graphs
144. ICML 2023Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
145. ICML 2023Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
146. ICML 2023Can Neural Network Memorization Be Localized?
147. ICML 2023Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
148. ICML 2023Differentiable Tree Operations Promote Compositional Generalization
149. ICML 2023Distribution Free Domain Generalization
150. ICML 2023General Sequential Episodic Memory Model

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · generalization论文？

共 592 篇，按年份分别是 2023 年 136 篇、2024 年 135 篇、2025 年 169 篇、2026 年 152 篇。

NeurIPS 2026 有多少篇通用机器学习 · generalization论文？

NeurIPS 2026 有 58 篇通用机器学习 · generalization论文，上一届是 61 篇。

ICLR 2026 有多少篇通用机器学习 · generalization论文？

ICLR 2026 有 38 篇通用机器学习 · generalization论文，上一届是 33 篇。

ICML 2026 有多少篇通用机器学习 · generalization论文？

ICML 2026 有 47 篇通用机器学习 · generalization论文，上一届是 61 篇。

CVPR 2026 有多少篇通用机器学习 · generalization论文？

CVPR 2026 有 9 篇通用机器学习 · generalization论文，上一届是 14 篇。

哪个会议的通用机器学习 · generalization论文最多？

NeurIPS，2023–2026 年共 207 篇。