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

206 papers, page 2 of 5

51. CVPR 2025Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
52. CVPR 2025Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
53. CVPR 2025Improving Transferable Targeted Attacks with Feature Tuning Mixup
54. CVPR 2025Invisible Backdoor Attack against Self-supervised Learning
55. CVPR 2025Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection
56. CVPR 2025Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation
57. CVPR 2025Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
58. CVPR 2025NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary
59. CVPR 2025ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
60. CVPR 2025On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
61. CVPR 2025Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
62. CVPR 2025Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
63. CVPR 2025POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
64. CVPR 2025Rotation-Equivariant Self-Supervised Method in Image Denoising
65. CVPR 2025Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
66. CVPR 2025Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
67. CVPR 2025Self-Supervised Learning for Color Spike Camera Reconstruction
68. CVPR 2025Self-Supervised Spatial Correspondence Across Modalities
69. CVPR 2025SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting
70. CVPR 2025Sonata: Self-Supervised Learning of Reliable Point Representations
71. CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
72. CVPR 2025Take the Bull by the Horns: Learning to Segment Hard Samples
73. CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
74. CVPR 2025VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
75. CVPR 2025Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
76. CVPR 2025Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
77. CVPR 2025Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
78. CVPR 2025WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
79. CVPR 2025You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
80. CVPR 2024A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection
81. CVPR 2024AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
82. CVPR 2024Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
83. CVPR 2024Animating General Image with Large Visual Motion Model
84. CVPR 2024Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
85. CVPR 2024CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
86. CVPR 2024CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
87. CVPR 2024Class Tokens Infusion for Weakly Supervised Semantic Segmentation
88. CVPR 2024CNC-Net: Self-Supervised Learning for CNC Machining Operations
89. CVPR 2024CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
90. CVPR 2024Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
91. CVPR 2024DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
92. CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
93. CVPR 2024Efficient Model Stealing Defense with Noise Transition Matrix
94. CVPR 2024Ensemble Diversity Facilitates Adversarial Transferability
95. CVPR 2024Extreme Point Supervised Instance Segmentation
96. CVPR 2024FaceLift: Semi-supervised 3D Facial Landmark Localization
97. CVPR 2024Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
98. CVPR 2024From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
99. CVPR 2024From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
100. CVPR 2024Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation

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.