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

84 papers, page 1 of 2

1. CVPR 20243D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
2. CVPR 2024A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
3. CVPR 2024A General and Efficient Training for Transformer via Token Expansion
4. CVPR 2024Absolute Pose from One or Two Scaled and Oriented Features
5. CVPR 2024Aligning and Prompting Everything All at Once for Universal Visual Perception
6. CVPR 2024An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
7. CVPR 2024Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
8. CVPR 2024BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
9. CVPR 2024Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
10. CVPR 2024Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
11. CVPR 2024CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
12. CVPR 2024CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
13. CVPR 2024Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
14. CVPR 2024Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
15. CVPR 2024Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
16. CVPR 2024Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
17. CVPR 2024CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
18. CVPR 2024Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
19. CVPR 2024Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
20. CVPR 2024DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
21. CVPR 2024Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
22. CVPR 2024Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
23. CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
24. CVPR 2024EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
25. CVPR 2024EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
26. CVPR 2024ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
27. CVPR 2024Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
28. CVPR 2024FADES: Fair Disentanglement with Sensitive Relevance
29. CVPR 2024Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
30. CVPR 2024FreePoint: Unsupervised Point Cloud Instance Segmentation
31. CVPR 2024General Object Foundation Model for Images and Videos at Scale
32. CVPR 2024General Point Model Pretraining with Autoencoding and Autoregressive
33. CVPR 2024Guided Slot Attention for Unsupervised Video Object Segmentation
34. CVPR 2024Hierarchical Correlation Clustering and Tree Preserving Embedding
35. CVPR 2024HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
36. CVPR 2024HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
37. CVPR 2024HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
38. CVPR 2024IDGuard: Robust General Identity-centric POI Proactive Defense Against Face Editing Abuse
39. CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
40. CVPR 2024Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
41. CVPR 2024Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
42. CVPR 2024Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
43. CVPR 2024Learning to Count without Annotations
44. CVPR 2024LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
45. CVPR 2024M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
46. CVPR 2024MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
47. CVPR 2024Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
48. CVPR 2024Move Anything with Layered Scene Diffusion
49. CVPR 2024MR-VNet: Media Restoration using Volterra Networks
50. CVPR 2024NightCC: Nighttime Color Constancy via Adaptive Channel Masking

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.