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

87 papers, page 2 of 2

51. ICLR 2023Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
52. ICLR 2023PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
53. ICLR 2023Parametrizing Product Shape Manifolds by Composite Networks
54. ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
55. ICLR 2023Proposal-Contrastive Pretraining for Object Detection from Fewer Data
56. ICLR 2023Pseudoinverse-Guided Diffusion Models for Inverse Problems
57. ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
58. ICLR 2023RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
59. ICLR 2023Robust and Controllable Object-Centric Learning through Energy-based Models
60. ICLR 2023Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
61. ICLR 2023Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
62. ICLR 2023Semi-Parametric Inducing Point Networks and Neural Processes
63. ICLR 2023Sign and Basis Invariant Networks for Spectral Graph Representation Learning
64. ICLR 2023Simple and Scalable Nearest Neighbor Machine Translation
65. ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
66. ICLR 2023SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
67. ICLR 2023Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
68. ICLR 2023Statistical Guarantees for Consensus Clustering
69. ICLR 2023Stay Moral and Explore: Learn to Behave Morally in Text-based Games
70. ICLR 2023Stochastic No-regret Learning for General Games with Variance Reduction
71. ICLR 2023STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
72. ICLR 2023Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
73. ICLR 2023The hidden uniform cluster prior in self-supervised learning
74. ICLR 2023The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
75. ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
76. ICLR 2023TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
77. ICLR 2023Token Merging: Your ViT But Faster
78. ICLR 2023Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
79. ICLR 2023UNICORN: A Unified Backdoor Trigger Inversion Framework
80. ICLR 2023Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
81. ICLR 2023Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
82. ICLR 2023Unsupervised Manifold Alignment with Joint Multidimensional Scaling
83. ICLR 2023Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
84. ICLR 2023Unsupervised Model Selection for Time Series Anomaly Detection
85. ICLR 2023Unsupervised visualization of image datasets using contrastive learning
86. ICLR 2023Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
87. ICLR 2023Variance-Aware Sparse Linear Bandits

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.