General ML · supervised learning papers, 2023–2026

Key findings

• General ML · supervised learning went from 263 papers in 2023 to 279 in 2026, roughly 1.1x in three years.
• NeurIPS publishes the most General ML · supervised learning work: 731 papers from 2023 to 2026, 51% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 9 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #3 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 2026AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
• ICML 2026$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
• ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
• CVPR 2026Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images
• NeurIPS 2025$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
• ICML 2025Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
• ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
• CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
• NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
• ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
• ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
• CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
• NeurIPS 2023A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
• ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
• ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
• CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
• NeurIPS 2026Approximation of Maximally Monotone Operators : A Graph Convergence Perspective
• ICML 2026Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning
• ICLR 2026Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate Modeling
• CVPR 2026HyperNAS Enhancing Architecture Representation for NAS Predictor via Hypernetwork

All General ML · supervised learning papers

1,424 papers, page 23 of 29

1101. NeurIPS 2024ST$_k$: A Scalable Module for Solving Top-k Problems
1102. NeurIPS 2024STONE: A Submodular Optimization Framework for Active 3D Object Detection
1103. NeurIPS 2024Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks
1104. NeurIPS 2024Structural Inference of Dynamical Systems with Conjoined State Space Models
1105. NeurIPS 2024Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
1106. NeurIPS 2024Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection
1107. NeurIPS 2024Supervised Kernel Thinning
1108. NeurIPS 2024Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
1109. NeurIPS 2024TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
1110. NeurIPS 2024TAIA: Large Language Models are Out-of-Distribution Data Learners
1111. NeurIPS 2024Task-Agnostic Machine-Learning-Assisted Inference
1112. NeurIPS 2024Task-oriented Time Series Imputation Evaluation via Generalized Representers
1113. NeurIPS 2024Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
1114. NeurIPS 2024The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
1115. NeurIPS 2024The Impact of Initialization on LoRA Finetuning Dynamics
1116. NeurIPS 2024The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
1117. NeurIPS 2024The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
1118. NeurIPS 2024The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective
1119. NeurIPS 2024The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
1120. NeurIPS 2024Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
1121. NeurIPS 2024Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
1122. NeurIPS 2024Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
1123. NeurIPS 2024Topological Hidden Markov Models
1124. NeurIPS 2024Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models
1125. NeurIPS 2024Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
1126. NeurIPS 2024Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
1127. NeurIPS 2024Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
1128. NeurIPS 2024Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation
1129. NeurIPS 2024Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
1130. NeurIPS 2024Towards Stable Representations for Protein Interface Prediction
1131. NeurIPS 2024Towards training digitally-tied analog blocks via hybrid gradient computation
1132. NeurIPS 2024Towards Understanding Evolving Patterns in Sequential Data
1133. NeurIPS 2024Training Compute-Optimal Protein Language Models
1134. NeurIPS 2024Transductive Active Learning: Theory and Applications
1135. NeurIPS 2024Transferable Adversarial Attacks on SAM and Its Downstream Models
1136. NeurIPS 2024TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
1137. NeurIPS 2024UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
1138. NeurIPS 2024Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction
1139. NeurIPS 2024Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective
1140. NeurIPS 2024UniIF: Unified Molecule Inverse Folding
1141. NeurIPS 2024Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
1142. NeurIPS 2024Universal Sample Coding
1143. NeurIPS 2024Unlocking the Potential of Global Human Expertise
1144. NeurIPS 2024UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
1145. NeurIPS 2024Unsupervised Anomaly Detection in The Presence of Missing Values
1146. NeurIPS 2024Unsupervised Discovery of Formulas for Mathematical Constants
1147. NeurIPS 2024Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms
1148. NeurIPS 2024Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
1149. NeurIPS 2024Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance
1150. NeurIPS 2024UQE: A Query Engine for Unstructured Databases

FAQ

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

1,425 in total: 263 in 2023, 511 in 2024, 372 in 2025, 279 in 2026.

How many General ML · supervised learning papers are at NeurIPS 2026?

NeurIPS 2026 has 87 General ML · supervised learning papers, versus 171 the year before.

How many General ML · supervised learning papers are at ICLR 2026?

ICLR 2026 has 48 General ML · supervised learning papers, versus 40 the year before.

How many General ML · supervised learning papers are at ICML 2026?

ICML 2026 has 111 General ML · supervised learning papers, versus 114 the year before.

How many General ML · supervised learning papers are at CVPR 2026?

CVPR 2026 has 33 General ML · supervised learning papers, versus 47 the year before.

Which conference publishes the most General ML · supervised learning papers?

NeurIPS, with 731 papers from 2023 to 2026.