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
682 papers, page 1 of 14
- CVPR 2025A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
- CVPR 2025A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization
- CVPR 2025AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
- CVPR 2025Adapting to Observation Length of Trajectory Prediction via Contrastive Learning
- CVPR 2025AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes
- CVPR 2025AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration
- CVPR 2025Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
- CVPR 2025Channel Consistency Prior and Self-Reconstruction Strategy Based Unsupervised Image Deraining
- CVPR 2025Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
- CVPR 2025Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
- CVPR 2025CleanDIFT: Diffusion Features without Noise
- CVPR 2025CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
- CVPR 2025Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization
- CVPR 2025Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
- CVPR 2025CustAny: Customizing Anything from A Single Example
- CVPR 2025Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
- CVPR 2025Deformable Radial Kernel Splatting
- CVPR 2025DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
- CVPR 2025DepthSplat: Connecting Gaussian Splatting and Depth
- CVPR 2025Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
- CVPR 2025Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations
- CVPR 2025Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening
- CVPR 2025Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
- CVPR 2025FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection
- CVPR 2025Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation
- CVPR 2025From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
- CVPR 2025Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities
- CVPR 2025HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration
- CVPR 2025Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
- CVPR 2025HSI-GPT: A General-Purpose Large Scene-Motion-Language Model for Human Scene Interaction
- CVPR 2025Identity-Clothing Similarity Modeling for Unsupervised Clothing Change Person Re-Identification
- CVPR 2025Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
- CVPR 2025Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
- CVPR 2025Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation
- CVPR 2025LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds
- CVPR 2025LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
- CVPR 2025MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining
- CVPR 2025MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
- CVPR 2025Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
- CVPR 2025NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectrics
- CVPR 2025OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
- CVPR 2025Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
- CVPR 2025Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
- CVPR 2025ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
- CVPR 2025Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging
- CVPR 2025Recovering Dynamic 3D Sketches from Videos
- CVPR 2025Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification
- CVPR 2025Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation
- CVPR 2025Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond
- CVPR 2025Samba: A Unified Mamba-based Framework for General Salient Object Detection
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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.