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

649 papers, page 1 of 13

1. CVPR 20232PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
2. CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
3. CVPR 2023ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
4. CVPR 2023Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition
5. CVPR 2023AltFreezing for More General Video Face Forgery Detection
6. CVPR 2023ARO-Net: Learning Implicit Fields From Anchored Radial Observations
7. CVPR 2023Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt
8. CVPR 2023Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping
9. CVPR 2023Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
10. CVPR 2023BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
11. CVPR 2023Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation
12. CVPR 2023COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport
13. CVPR 2023Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models
14. CVPR 2023CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
15. CVPR 2023CUF: Continuous Upsampling Filters
16. CVPR 2023Cut and Learn for Unsupervised Object Detection and Instance Segmentation
17. CVPR 2023DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
18. CVPR 2023Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection
19. CVPR 2023DepGraph: Towards Any Structural Pruning
20. CVPR 2023Disentangled Representation Learning for Unsupervised Neural Quantization
21. CVPR 2023DPE: Disentanglement of Pose and Expression for General Video Portrait Editing
22. CVPR 2023DualVector: Unsupervised Vector Font Synthesis With Dual-Part Representation
23. CVPR 2023Equiangular Basis Vectors
24. CVPR 2023Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars
25. CVPR 2023G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors
26. CVPR 2023GeneCIS: A Benchmark for General Conditional Image Similarity
27. CVPR 2023GeoNet: Benchmarking Unsupervised Adaptation Across Geographies
28. CVPR 2023GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning
29. CVPR 2023GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
30. CVPR 2023Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation
31. CVPR 2023HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining
32. CVPR 2023HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering
33. CVPR 2023Learning Emotion Representations From Verbal and Nonverbal Communication
34. CVPR 2023Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions
35. CVPR 2023Leveraging Hidden Positives for Unsupervised Semantic Segmentation
36. CVPR 2023Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
37. CVPR 2023Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
38. CVPR 2023MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
39. CVPR 2023MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning
40. CVPR 2023NeRF-RPN: A General Framework for Object Detection in NeRFs
41. CVPR 2023Network-Free, Unsupervised Semantic Segmentation With Synthetic Images
42. CVPR 2023Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models
43. CVPR 2023Neuralizer: General Neuroimage Analysis Without Re-Training
44. CVPR 2023Non-Contrastive Unsupervised Learning of Physiological Signals From Video
45. CVPR 2023OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization
46. CVPR 2023On the Stability-Plasticity Dilemma of Class-Incremental Learning
47. CVPR 2023OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation
48. CVPR 2023Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
49. CVPR 2023Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
50. CVPR 2023PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering

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.