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 29 of 29

1401. NeurIPS 2023RevColV2: Exploring Disentangled Representations in Masked Image Modeling
1402. NeurIPS 2023RGMIL: Guide Your Multiple-Instance Learning Model with Regressor
1403. NeurIPS 2023Robust and Actively Secure Serverless Collaborative Learning
1404. NeurIPS 2023Safety Verification of Decision-Tree Policies in Continuous Time
1405. NeurIPS 2023SALSA VERDE: a machine learning attack on LWE with sparse small secrets
1406. NeurIPS 2023Sample based Explanations via Generalized Representers
1407. NeurIPS 2023Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
1408. NeurIPS 2023Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
1409. NeurIPS 2023Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
1410. NeurIPS 2023Self-supervised Object-Centric Learning for Videos
1411. NeurIPS 2023Self-Supervised Reinforcement Learning that Transfers using Random Features
1412. NeurIPS 2023Self-Supervised Visual Acoustic Matching
1413. NeurIPS 2023Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
1414. NeurIPS 2023Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition
1415. NeurIPS 2023Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
1416. NeurIPS 2023Tanimoto Random Features for Scalable Molecular Machine Learning
1417. NeurIPS 2023The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
1418. NeurIPS 2023Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
1419. NeurIPS 2023Transfer Learning with Affine Model Transformation
1420. NeurIPS 2023Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
1421. NeurIPS 2023UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
1422. NeurIPS 2023Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
1423. NeurIPS 2023Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
1424. NeurIPS 2023Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets

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.