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 12 of 29

551. NeurIPS 2025Hamiltonian Neural PDE Solvers through Functional Approximation
552. NeurIPS 2025Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
553. NeurIPS 2025Improved Scaling Laws in Linear Regression via Data Reuse
554. NeurIPS 2025IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs
555. NeurIPS 2025Infinite Neural Operators: Gaussian processes on functions
556. NeurIPS 2025Influence Guided Context Selection for Effective Retrieval-Augmented Generation
557. NeurIPS 2025Informed Initialization for Bayesian Optimization and Active Learning
558. NeurIPS 2025ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
559. NeurIPS 2025Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
560. NeurIPS 2025KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing
561. NeurIPS 2025Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
562. NeurIPS 2025Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
563. NeurIPS 2025Learning Shared Representations from Unpaired Data
564. NeurIPS 2025Learning Stochastic Multiscale Models
565. NeurIPS 2025Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
566. NeurIPS 2025Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
567. NeurIPS 2025Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers
568. NeurIPS 2025MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction
569. NeurIPS 2025Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
570. NeurIPS 2025Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
571. NeurIPS 2025Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming
572. NeurIPS 2025Monotone and Separable Set Functions: Characterizations and Neural Models
573. NeurIPS 2025More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
574. NeurIPS 2025Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
575. NeurIPS 2025Neurons as Detectors of Coherent Sets in Sensory Dynamics
576. NeurIPS 2025NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
577. NeurIPS 2025Non-Adaptive Adversarial Face Generation
578. NeurIPS 2025OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels
579. NeurIPS 2025On Agnostic PAC Learning in the Small Error Regime
580. NeurIPS 2025On Reasoning Strength Planning in Large Reasoning Models
581. NeurIPS 2025On the creation of narrow AI: hierarchy and nonlocality of neural network skills
582. NeurIPS 2025On the Loss of Context Awareness in General Instruction Fine-tuning
583. NeurIPS 2025One Filters All: A Generalist Filter For State Estimation
584. NeurIPS 2025Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
585. NeurIPS 2025Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
586. NeurIPS 2025OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
587. NeurIPS 2025PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
588. NeurIPS 2025Per-Architecture Training-Free Metric Optimization for Neural Architecture Search
589. NeurIPS 2025Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows
590. NeurIPS 2025Prediction-Powered Semi-Supervised Learning with Online Power Tuning
591. NeurIPS 2025ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods
592. NeurIPS 2025QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design
593. NeurIPS 2025Quantum Doubly Stochastic Transformers
594. NeurIPS 2025R$^2$ec: Towards Large Recommender Models with Reasoning
595. NeurIPS 2025Random Forest Autoencoders for Guided Representation Learning
596. NeurIPS 2025RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
597. NeurIPS 2025Resource-Constrained Federated Continual Learning: What Does Matter?
598. NeurIPS 2025Revisiting Orbital Minimization Method for Neural Operator Decomposition
599. NeurIPS 2025RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains
600. NeurIPS 2025Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits

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.