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

87 papers, page 2 of 2

51. CVPR 2023Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
52. CVPR 2023Prototypical Residual Networks for Anomaly Detection and Localization
53. CVPR 2023Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
54. CVPR 2023Robust Unsupervised StyleGAN Image Restoration
55. CVPR 2023SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
56. CVPR 2023SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence
57. CVPR 2023Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography
58. CVPR 2023Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
59. CVPR 2023SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
60. CVPR 2023Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion
61. CVPR 2023Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
62. CVPR 2023Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation
63. CVPR 2023Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection
64. CVPR 2023Towards Modality-Agnostic Person Re-Identification With Descriptive Query
65. CVPR 2023Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization
66. CVPR 2023Towards Unsupervised Object Detection From LiDAR Point Clouds
67. CVPR 2023Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior
68. CVPR 2023Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
69. CVPR 2023Unifying Short and Long-Term Tracking With Graph Hierarchies
70. CVPR 2023Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
71. CVPR 2023Unsupervised Continual Semantic Adaptation Through Neural Rendering
72. CVPR 2023Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
73. CVPR 2023Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
74. CVPR 2023Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity
75. CVPR 2023Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
76. CVPR 2023Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation
77. CVPR 2023Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors
78. CVPR 2023Unsupervised Intrinsic Image Decomposition With LiDAR Intensity
79. CVPR 2023Unsupervised Object Localization: Observing the Background To Discover Objects
80. CVPR 2023Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
81. CVPR 2023Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
82. CVPR 2023Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
83. CVPR 2023Unsupervised Volumetric Animation
84. CVPR 2023Upcycling Models Under Domain and Category Shift
85. CVPR 2023Variational Distribution Learning for Unsupervised Text-to-Image Generation
86. CVPR 2023Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations
87. CVPR 2023Why Is the Winner the Best?

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.