General ML · generalization papers, 2023–2026

Key findings

• General ML · generalization went from 136 papers in 2023 to 152 in 2026, roughly 1.1x in three years.
• NeurIPS publishes the most General ML · generalization work: 207 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Theory · learning theory: papers tagged with both rose from 3 in 2023 to 20 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #5 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.1x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All General ML · generalization papers

174 papers, page 3 of 4

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

FAQ

How many General ML · generalization papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

592 in total: 136 in 2023, 135 in 2024, 169 in 2025, 152 in 2026.

How many General ML · generalization papers are at NeurIPS 2026?

NeurIPS 2026 has 58 General ML · generalization papers, versus 61 the year before.

How many General ML · generalization papers are at ICLR 2026?

ICLR 2026 has 38 General ML · generalization papers, versus 33 the year before.

How many General ML · generalization papers are at ICML 2026?

ICML 2026 has 47 General ML · generalization papers, versus 61 the year before.

How many General ML · generalization papers are at CVPR 2026?

CVPR 2026 has 9 General ML · generalization papers, versus 14 the year before.

Which conference publishes the most General ML · generalization papers?

NeurIPS, with 207 papers from 2023 to 2026.