General ML · unsupervised and semisupervised learning papers, 2023–2026
General machine learning: unsupervised_and_semisupervised_learning
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,683 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 318 | 87 | 157 | 87 | 649 |
| 2024 | 118 | 236 | 115 | 84 | 553 |
| 2025 | 203 | 174 | 239 | 66 | 682 |
| 2026 | 194 | 187 | 348 | 70 | 799 |
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
2,682 papers, page 31 of 54
- CVPR 2024Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
- CVPR 2024Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
- CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
- CVPR 2024EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
- CVPR 2024EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
- CVPR 2024ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
- CVPR 2024Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
- CVPR 2024FADES: Fair Disentanglement with Sensitive Relevance
- CVPR 2024Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
- CVPR 2024FreePoint: Unsupervised Point Cloud Instance Segmentation
- CVPR 2024General Object Foundation Model for Images and Videos at Scale
- CVPR 2024General Point Model Pretraining with Autoencoding and Autoregressive
- CVPR 2024Guided Slot Attention for Unsupervised Video Object Segmentation
- CVPR 2024Hierarchical Correlation Clustering and Tree Preserving Embedding
- CVPR 2024HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
- CVPR 2024HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
- CVPR 2024HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
- CVPR 2024IDGuard: Robust General Identity-centric POI Proactive Defense Against Face Editing Abuse
- CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
- CVPR 2024Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
- CVPR 2024Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
- CVPR 2024Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
- CVPR 2024Learning to Count without Annotations
- CVPR 2024LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
- CVPR 2024M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
- CVPR 2024MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
- CVPR 2024Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
- CVPR 2024Move Anything with Layered Scene Diffusion
- CVPR 2024MR-VNet: Media Restoration using Volterra Networks
- CVPR 2024NightCC: Nighttime Color Constancy via Adaptive Channel Masking
- CVPR 2024NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
- CVPR 2024Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding
- CVPR 2024OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
- CVPR 2024Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
- CVPR 2024PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
- CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
- CVPR 2024Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
- CVPR 2024SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
- CVPR 2024Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
- CVPR 2024SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
- CVPR 2024Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
- CVPR 2024Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
- CVPR 2024Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
- CVPR 2024Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
- CVPR 2024Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
- CVPR 2024TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations
- CVPR 2024UnO: Unsupervised Occupancy Fields for Perception and Forecasting
- CVPR 2024UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
- CVPR 2024UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
- CVPR 2024Unsupervised 3D Structure Inference from Category-Specific Image Collections
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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.