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

111 papers, page 2 of 3

51. ICML 2026Language Model Augmented Semi-Supervised Statistical Inference
52. ICML 2026Large Scale Manifold Balanced Clustering
53. ICML 2026LassoFlexNet: a Flexible Neural Architecture for Tabular Data
54. ICML 2026Learning Generalized Label Distributions
55. ICML 2026Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
56. ICML 2026Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation
57. ICML 2026Learning to Rank by Directly Optimizing Full-Order Probabilities
58. ICML 2026Learning-augmented Rent-or-Buy with a Sample
59. ICML 2026Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm
60. ICML 2026LEMUR: Learned Multi-Vector Retrieval
61. ICML 2026Lie-Algebraic Acceleration of Neural Koopman Dynamics
62. ICML 2026Likelihood over Estimation: Robust Quadratic Discriminant Analysis for Heavy-Tailed Distributions with Theory and Evidence
63. ICML 2026LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry
64. ICML 2026Low-Rank and Sparsity Are All You Need: Exploring Robust Hierarchical Latent Subspaces for Transferable Adversarial Attack
65. ICML 2026Masked Multi-path Contrast with Confidence-Gated Semantic Imputation for Incomplete Multi-view Clustering
66. ICML 2026MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
67. ICML 2026Mind the Budget: Accelerating Deep Reinforcement Learning using Constrained Early Exit Neural Networks
68. ICML 2026Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection
69. ICML 2026MMPD-Bench: Bridging Multimodal Fission with Multi-Polarimetric Modalities Decomposition
70. ICML 2026Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems
71. ICML 2026Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
72. ICML 2026Newton-coupled Dual-Teacher Semi-supervised Learning Framework
73. ICML 2026On the Power of Statistics in Class-Incremental Learning with Pretrained Models
74. ICML 2026On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning
75. ICML 2026One Coin Has Two Sides: Single Poistive Multi Label Learning from Salient Annotations
76. ICML 2026Persistent Backdoor Attacks in Class-Incremental Learning via Structural Invariant Anchoring
77. ICML 2026Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
78. ICML 2026Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
79. ICML 2026PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence
80. ICML 2026Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-Supervised Learning
81. ICML 2026RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data
82. ICML 2026Relevance-Based Embeddings: Lightweight Candidate Retrieval via Heavy-Ranker Calls
83. ICML 2026Risk-Bounded Distribution Reconstruction: Stable Statistic Calibration for Long-Tailed Recognition
84. ICML 2026Self-Supervised Learning as Discrete Communication
85. ICML 2026Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
86. ICML 2026Semi-Supervised Hypothesis Testing by Betting on Predictions
87. ICML 2026Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
88. ICML 2026Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression
89. ICML 2026Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
90. ICML 2026Solving Time-Dependent Differential Equations with Physical Dynamical Systems
91. ICML 2026SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport
92. ICML 2026SpikeCLR: Self-Supervised Contrastive Learning for Visual Representations with Spiking Neural Networks
93. ICML 2026STAND: Self-Aware Precondition Induction for Interactive Task Learning
94. ICML 2026Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems
95. ICML 2026TabularBERT: Binning-Based Self-Supervised Learning for Tabular Representation
96. ICML 2026Taking the GP Out of the Loop
97. ICML 2026The Extra Tokens Matter: Disentangled Representation Learning with Vision Transformers
98. ICML 2026Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit
99. ICML 2026TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
100. ICML 2026Topology-Preserving Neural Operator Learning via Hodge Decomposition

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.