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 10 of 29

451. ICML 2025Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation
452. ICML 2025Robust Automatic Modulation Classification with Fuzzy Regularization
453. ICML 2025Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics
454. ICML 2025scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
455. ICML 2025SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
456. ICML 2025SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
457. ICML 2025Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
458. ICML 2025Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
459. ICML 2025Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators
460. ICML 2025Simplifying DINO via Coding Rate Regularization
461. ICML 2025Spherical Rotation Dimension Reduction with Geometric Loss Functions
462. ICML 2025Stabilizing Sample Similarity in Representation via Mitigating Random Consistency
463. ICML 2025Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters
464. ICML 2025Survival Analysis via Density Estimation
465. ICML 2025Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
466. ICML 2025Testing Conditional Mean Independence Using Generative Neural Networks
467. ICML 2025Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
468. ICML 2025TLLC: Transfer Learning-based Label Completion for Crowdsourcing
469. ICML 2025Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification
470. ICML 2025Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
471. ICML 2025TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree
472. ICML 2025Trusted Multi-View Classification with Expert Knowledge Constraints
473. ICML 2025Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
474. ICML 2025Understanding Model Ensemble in Transferable Adversarial Attack
475. ICML 2025Understanding the Unfairness in Network Quantization
476. ICML 2025Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
477. ICML 2025Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
478. ICML 2025Weakly-Supervised Contrastive Learning for Imprecise Class Labels
479. ICML 2025X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
480. NeurIPS 2025$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
481. NeurIPS 2025$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
482. NeurIPS 20251000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
483. NeurIPS 20253DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization
484. NeurIPS 202570% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)
485. NeurIPS 2025A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging
486. NeurIPS 2025Accelerating Model-Free Optimization via Averaging of Cost Samples
487. NeurIPS 2025AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
488. NeurIPS 2025Advancing Interpretability of CLIP Representations with Concept Surrogate Model
489. NeurIPS 2025Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
490. NeurIPS 2025AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
491. NeurIPS 2025An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph
492. NeurIPS 2025An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
493. NeurIPS 2025Analog Foundation Models
494. NeurIPS 2025Anchor-based Maximum Discrepancy for Relative Similarity Testing
495. NeurIPS 2025Anytime-valid, Bayes-assisted, Prediction-Powered Inference
496. NeurIPS 2025ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design
497. NeurIPS 2025Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning
498. NeurIPS 2025Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
499. NeurIPS 2025AutoHood3D: A Multi‑Modal Benchmark for Automotive Hood Design and Fluid–Structure Interaction
500. NeurIPS 2025Backdoor Mitigation via Invertible Pruning Masks

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.