General ML · unsupervised and semisupervised learning papers, 2023–2026

Key findings

• General ML · unsupervised and semisupervised learning went from 649 papers in 2023 to 799 in 2026, roughly 1.2x in three years.
• ICML publishes the most General ML · unsupervised and semisupervised learning work: 859 papers from 2023 to 2026, 32% of the four-venue total.
• The fastest-growing overlap is with Deep learning · self supervised learning: papers tagged with both rose from 23 in 2023 to 86 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #1 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
• CVPR 2026COG Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object
• NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
• ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
• ICLR 2025A General Framework for Producing Interpretable Semantic Text Embeddings
• CVPR 2025A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
• NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
• ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
• NeurIPS 2023$H$-Consistency Bounds: Characterization and Extensions
• ICML 2023A Mathematical Model for Curriculum Learning for Parities
• ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
• CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
• NeurIPS 2026Attention-based PCA
• ICML 2026A Control-Theoretic View of Mamba on Stability and Robustness
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026CROWn A Unified Framework for Anti-Aliased Downsampling and Phase-Calibrated Fusion

All General ML · unsupervised and semisupervised learning papers

553 papers, page 2 of 12

51. CVPR 2024NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
52. CVPR 2024Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding
53. CVPR 2024OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
54. CVPR 2024Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
55. CVPR 2024PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
56. CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
57. CVPR 2024Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
58. CVPR 2024SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
59. CVPR 2024Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
60. CVPR 2024SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
61. CVPR 2024Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
62. CVPR 2024Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
63. CVPR 2024Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
64. CVPR 2024Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
65. CVPR 2024Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
66. CVPR 2024TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations
67. CVPR 2024UnO: Unsupervised Occupancy Fields for Perception and Forecasting
68. CVPR 2024UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
69. CVPR 2024UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
70. CVPR 2024Unsupervised 3D Structure Inference from Category-Specific Image Collections
71. CVPR 2024Unsupervised Blind Image Deblurring Based on Self-Enhancement
72. CVPR 2024Unsupervised Deep Unrolling Networks for Phase Unwrapping
73. CVPR 2024Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
74. CVPR 2024Unsupervised Gaze Representation Learning from Multi-view Face Images
75. CVPR 2024Unsupervised Keypoints from Pretrained Diffusion Models
76. CVPR 2024Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
77. CVPR 2024Unsupervised Occupancy Learning from Sparse Point Cloud
78. CVPR 2024Unsupervised Salient Instance Detection
79. CVPR 2024Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
80. CVPR 2024Unsupervised Template-assisted Point Cloud Shape Correspondence Network
81. CVPR 2024Unsupervised Universal Image Segmentation
82. CVPR 2024Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
83. CVPR 2024VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
84. CVPR 2024VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
85. ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
86. ICLR 2024$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity
87. ICLR 2024A General Framework for User-Guided Bayesian Optimization
88. ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
89. ICLR 2024A Mutual Information Perspective on Federated Contrastive Learning
90. ICLR 2024A path-norm toolkit for modern networks: consequences, promises and challenges
91. ICLR 2024A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
92. ICLR 2024A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
93. ICLR 2024A representation-learning game for classes of prediction tasks
94. ICLR 2024A Restoration Network as an Implicit Prior
95. ICLR 2024A Simple and Effective Pruning Approach for Large Language Models
96. ICLR 2024A Unified and General Framework for Continual Learning
97. ICLR 2024Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
98. ICLR 2024ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
99. ICLR 2024Adapting Large Language Models via Reading Comprehension
100. ICLR 2024ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process

FAQ

How many General ML · unsupervised and semisupervised learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,683 in total: 649 in 2023, 553 in 2024, 682 in 2025, 799 in 2026.

How many General ML · unsupervised and semisupervised learning papers are at NeurIPS 2026?

NeurIPS 2026 has 194 General ML · unsupervised and semisupervised learning papers, versus 203 the year before.

How many General ML · unsupervised and semisupervised learning papers are at ICLR 2026?

ICLR 2026 has 187 General ML · unsupervised and semisupervised learning papers, versus 174 the year before.

How many General ML · unsupervised and semisupervised learning papers are at ICML 2026?

ICML 2026 has 348 General ML · unsupervised and semisupervised learning papers, versus 239 the year before.

How many General ML · unsupervised and semisupervised learning papers are at CVPR 2026?

CVPR 2026 has 70 General ML · unsupervised and semisupervised learning papers, versus 66 the year before.

Which conference publishes the most General ML · unsupervised and semisupervised learning papers?

ICML, with 859 papers from 2023 to 2026.