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 2 of 14
- CVPR 2025Scene-Centric Unsupervised Panoptic Segmentation
- CVPR 2025ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion
- CVPR 2025Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection
- CVPR 2025Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
- CVPR 2025SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split Optimization
- CVPR 2025TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
- CVPR 2025Temporally Consistent Object-Centric Learning by Contrasting Slots
- CVPR 2025Towards General Visual-Linguistic Face Forgery Detection
- CVPR 2025UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning
- CVPR 2025UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
- CVPR 2025UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation
- CVPR 2025Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling
- CVPR 2025Unsupervised Discovery of Facial Landmarks and Head Pose
- CVPR 2025Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
- CVPR 2025UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
- CVPR 2025Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution
- ICLR 2025A General Framework for Off-Policy Learning with Partially-Observed Reward
- ICLR 2025A General Framework for Producing Interpretable Semantic Text Embeddings
- ICLR 2025A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
- ICLR 2025A Simple yet Effective $\Delta\Delta G$ Predictor is An Unsupervised Antibody Optimizer and Explainer
- ICLR 2025A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
- ICLR 2025Advancing Out-of-Distribution Detection via Local Neuroplasticity
- ICLR 2025Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
- ICLR 2025Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
- ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
- ICLR 2025Ask, and it shall be given: On the Turing completeness of prompting
- ICLR 2025Associative memory and dead neurons
- ICLR 2025AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
- ICLR 2025Beyond Random Augmentations: Pretraining with Hard Views
- ICLR 2025Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
- ICLR 2025Breaking the Reclustering Barrier in Centroid-based Deep Clustering
- ICLR 2025Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
- ICLR 2025Captured by Captions: On Memorization and its Mitigation in CLIP Models
- ICLR 2025CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
- ICLR 2025Conformalized Survival Analysis for General Right-Censored Data
- ICLR 2025ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
- ICLR 2025Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
- ICLR 2025COPER: Correlation-based Permutations for Multi-View Clustering
- ICLR 2025CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
- ICLR 2025Cross-Entropy Is All You Need To Invert the Data Generating Process
- ICLR 2025CtD: Composition through Decomposition in Emergent Communication
- ICLR 2025Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
- ICLR 2025Difference-of-submodular Bregman Divergence
- ICLR 2025Differentiable Integer Linear Programming
- ICLR 2025DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
- ICLR 2025Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
- ICLR 2025Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
- ICLR 2025Discrete Latent Plans via Semantic Skill Abstractions
- ICLR 2025Disentangled Representation Learning with the Gromov-Monge Gap
- ICLR 2025Distance-Based Tree-Sliced Wasserstein Distance
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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.