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

174 papers, page 2 of 4

51. ICLR 2025Formation of Representations in Neural Networks
52. ICLR 2025GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
53. ICLR 2025GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
54. ICLR 2025General Scene Adaptation for Vision-and-Language Navigation
55. ICLR 2025Generalized Behavior Learning from Diverse Demonstrations
56. ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
57. ICLR 2025Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
58. ICLR 2025Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
59. ICLR 2025Gramian Multimodal Representation Learning and Alignment
60. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
61. ICLR 2025Gyrogroup Batch Normalization
62. ICLR 2025HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS
63. ICLR 2025HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
64. ICLR 2025Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
65. ICLR 2025I-Con: A Unifying Framework for Representation Learning
66. ICLR 2025Identification of Intermittent Temporal Latent Process
67. ICLR 2025Improving Deep Regression with Tightness
68. ICLR 2025Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
69. ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
70. ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
71. ICLR 2025Instance-dependent Early Stopping
72. ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
73. ICLR 2025Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios
74. ICLR 2025Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
75. ICLR 2025Isometric Regularization for Manifolds of Functional Data
76. ICLR 2025JPEG Inspired Deep Learning
77. ICLR 2025Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
78. ICLR 2025Large (Vision) Language Models are Unsupervised In-Context Learners
79. ICLR 2025Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory
80. ICLR 2025Learning from weak labelers as constraints
81. ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
82. ICLR 2025Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization
83. ICLR 2025LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
84. ICLR 2025LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
85. ICLR 2025Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making
86. ICLR 2025Looped Transformers for Length Generalization
87. ICLR 2025Matérn Kernels for Tunable Implicit Surface Reconstruction
88. ICLR 2025Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets
89. ICLR 2025Memory Mosaics
90. ICLR 2025MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
91. ICLR 2025Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning
92. ICLR 2025More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing
93. ICLR 2025Multi-Scale Fusion for Object Representation
94. ICLR 2025Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine
95. ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
96. ICLR 2025NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
97. ICLR 2025On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
98. ICLR 2025On the Byzantine-Resilience of Distillation-Based Federated Learning
99. ICLR 2025On the Identification of Temporal Causal Representation with Instantaneous Dependence
100. ICLR 2025On the Transfer of Object-Centric Representation Learning

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.