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

731 papers, page 10 of 15

451. NeurIPS 2024Learning-Augmented Priority Queues
452. NeurIPS 2024LLaMo: Large Language Model-based Molecular Graph Assistant
453. NeurIPS 2024LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
454. NeurIPS 2024LLMDFA: Analyzing Dataflow in Code with Large Language Models
455. NeurIPS 2024Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
456. NeurIPS 2024LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment
457. NeurIPS 2024Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
458. NeurIPS 2024MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
459. NeurIPS 2024MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
460. NeurIPS 2024Masked Pre-training Enables Universal Zero-shot Denoiser
461. NeurIPS 2024Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
462. NeurIPS 2024MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
463. NeurIPS 2024Minimum Entropy Coupling with Bottleneck
464. NeurIPS 2024Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning
465. NeurIPS 2024Mixture of neural fields for heterogeneous reconstruction in cryo-EM
466. NeurIPS 2024Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
467. NeurIPS 2024Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA
468. NeurIPS 2024Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
469. NeurIPS 2024Model Sensitivity Aware Continual Learning
470. NeurIPS 2024Molecule Generation with Fragment Retrieval Augmentation
471. NeurIPS 2024MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions
472. NeurIPS 2024MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training
473. NeurIPS 2024Multi-Instance Partial-Label Learning with Margin Adjustment
474. NeurIPS 2024Multi-Label Open Set Recognition
475. NeurIPS 2024Multi-language Diversity Benefits Autoformalization
476. NeurIPS 2024Multi-modal Transfer Learning between Biological Foundation Models
477. NeurIPS 2024Multiple Physics Pretraining for Spatiotemporal Surrogate Models
478. NeurIPS 2024Mutli-Armed Bandits with Network Interference
479. NeurIPS 2024Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
480. NeurIPS 2024Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
481. NeurIPS 2024Neglected Hessian component explains mysteries in sharpness regularization
482. NeurIPS 2024Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
483. NeurIPS 2024Neural Conditional Probability for Uncertainty Quantification
484. NeurIPS 2024Neural Cover Selection for Image Steganography
485. NeurIPS 2024Neural Krylov Iteration for Accelerating Linear System Solving
486. NeurIPS 2024Neural Model Checking
487. NeurIPS 2024Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
488. NeurIPS 2024NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
489. NeurIPS 2024NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
490. NeurIPS 2024Neuronal Competition Groups with Supervised STDP for Spike-Based Classification
491. NeurIPS 2024Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations
492. NeurIPS 2024NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
493. NeurIPS 2024Non-parametric classification via expand-and-sparsify representation
494. NeurIPS 2024Nonparametric Evaluation of Noisy ICA Solutions
495. NeurIPS 2024Off-Policy Selection for Initiating Human-Centric Experimental Design
496. NeurIPS 2024On Softmax Direct Preference Optimization for Recommendation
497. NeurIPS 2024On the Comparison between Multi-modal and Single-modal Contrastive Learning
498. NeurIPS 2024On the Complexity of Teaching a Family of Linear Behavior Cloning Learners
499. NeurIPS 2024On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
500. NeurIPS 2024On Weak Regret Analysis for Dueling Bandits

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.