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 3 of 4

101. ICLR 2025On-the-fly Preference Alignment via Principle-Guided Decoding
102. ICLR 2025Online Clustering with Nearly Optimal Consistency
103. ICLR 2025Optimal Brain Apoptosis
104. ICLR 2025Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction
105. ICLR 2025Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling
106. ICLR 2025Perturbation-Restrained Sequential Model Editing
107. ICLR 2025PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
108. ICLR 2025PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
109. ICLR 2025PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
110. ICLR 2025Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
111. ICLR 2025Progressive distillation induces an implicit curriculum
112. ICLR 2025Projection Head is Secretly an Information Bottleneck
113. ICLR 2025Provable unlearning in topic modeling and downstream tasks
114. ICLR 2025Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
115. ICLR 2025Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
116. ICLR 2025Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
117. ICLR 2025Refining CLIP's Spatial Awareness: A Visual-Centric Perspective
118. ICLR 2025Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds
119. ICLR 2025Remove Symmetries to Control Model Expressivity and Improve Optimization
120. ICLR 2025Repetition Improves Language Model Embeddings
121. ICLR 2025Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
122. ICLR 2025Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance
123. ICLR 2025Rethinking Multiple-Instance Learning From Feature Space to Probability Space
124. ICLR 2025Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
125. ICLR 2025Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control
126. ICLR 2025Robust System Identification: Finite-sample Guarantees and Connection to Regularization
127. ICLR 2025Round and Round We Go! What makes Rotary Positional Encodings useful?
128. ICLR 2025Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
129. ICLR 2025SAVA: Scalable Learning-Agnostic Data Valuation
130. ICLR 2025SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting
131. ICLR 2025Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
132. ICLR 2025Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
133. ICLR 2025Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
134. ICLR 2025SelKD: Selective Knowledge Distillation via Optimal Transport Perspective
135. ICLR 2025SGD with memory: fundamental properties and stochastic acceleration
136. ICLR 2025Sharpness-Aware Minimization: General Analysis and Improved Rates
137. ICLR 2025Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
138. ICLR 2025Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
139. ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
140. ICLR 2025SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
141. ICLR 2025Spherical Tree-Sliced Wasserstein Distance
142. ICLR 2025Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression
143. ICLR 2025Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion
144. ICLR 2025Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
145. ICLR 2025Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
146. ICLR 2025T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
147. ICLR 2025The Belief State Transformer
148. ICLR 2025The Foundations of Tokenization: Statistical and Computational Concerns
149. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
150. ICLR 2025Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models

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.