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 25 of 29

1201. CVPR 2023RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension
1202. CVPR 2023Revisiting the Stack-Based Inverse Tone Mapping
1203. CVPR 2023Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation
1204. CVPR 2023S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
1205. CVPR 2023SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
1206. CVPR 2023Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
1207. CVPR 2023Self-Supervised AutoFlow
1208. CVPR 2023Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization
1209. CVPR 2023Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
1210. CVPR 2023Self-Supervised Implicit Glyph Attention for Text Recognition
1211. CVPR 2023Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture
1212. CVPR 2023Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding
1213. CVPR 2023Self-Supervised Representation Learning for CAD
1214. CVPR 2023Self-Supervised Super-Plane for Neural 3D Reconstruction
1215. CVPR 2023SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
1216. CVPR 2023Semi-DETR: Semi-Supervised Object Detection With Detection Transformers
1217. CVPR 2023Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
1218. CVPR 2023Semi-Supervised Learning Made Simple With Self-Supervised Clustering
1219. CVPR 2023Semi-Supervised Video Inpainting With Cycle Consistency Constraints
1220. CVPR 2023Semi-Weakly Supervised Object Kinematic Motion Prediction
1221. CVPR 2023Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
1222. CVPR 2023SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
1223. CVPR 2023SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
1224. CVPR 2023SOOD: Towards Semi-Supervised Oriented Object Detection
1225. CVPR 2023Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
1226. CVPR 2023StyLess: Boosting the Transferability of Adversarial Examples
1227. CVPR 2023Super-Resolution Neural Operator
1228. CVPR 2023TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
1229. CVPR 2023Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
1230. CVPR 2023Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training
1231. CVPR 2023Token Contrast for Weakly-Supervised Semantic Segmentation
1232. CVPR 2023Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need
1233. CVPR 2023Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples
1234. CVPR 2023Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition
1235. CVPR 2023Weakly Supervised Posture Mining for Fine-Grained Classification
1236. CVPR 2023Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training
1237. CVPR 2023Weakly-Supervised Single-View Image Relighting
1238. ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
1239. ICLR 2023A theoretical study of inductive biases in contrastive learning
1240. ICLR 2023Agnostic Learning of General ReLU Activation Using Gradient Descent
1241. ICLR 2023Coupled Multiwavelet Operator Learning for Coupled Differential Equations
1242. ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
1243. ICLR 2023Don’t fear the unlabelled: safe semi-supervised learning via debiasing
1244. ICLR 2023EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
1245. ICLR 2023Effective Self-supervised Pre-training on Low-compute Networks without Distillation
1246. ICLR 2023Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
1247. ICLR 2023Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
1248. ICLR 2023FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
1249. ICLR 2023Guiding continuous operator learning through Physics-based boundary constraints
1250. ICLR 2023How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study

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.