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

236 papers, page 3 of 5

101. ICLR 2024Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
102. ICLR 2024Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling
103. ICLR 2024InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
104. ICLR 2024InfoCon: Concept Discovery with Generative and Discriminative Informativeness
105. ICLR 2024Inherently Interpretable Time Series Classification via Multiple Instance Learning
106. ICLR 2024Investigating the Benefits of Projection Head for Representation Learning
107. ICLR 2024Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
108. ICLR 2024Jointly-Learned Exit and Inference for a Dynamic Neural Network
109. ICLR 2024Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
110. ICLR 2024Large Language Models as Analogical Reasoners
111. ICLR 2024Large Language Models as Optimizers
112. ICLR 2024Large Language Models as Tool Makers
113. ICLR 2024Layer-wise linear mode connectivity
114. ICLR 2024LCOT: Linear Circular Optimal Transport
115. ICLR 2024LDReg: Local Dimensionality Regularized Self-Supervised Learning
116. ICLR 2024Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
117. ICLR 2024Learning interpretable control inputs and dynamics underlying animal locomotion
118. ICLR 2024Learning invariant representations of time-homogeneous stochastic dynamical systems
119. ICLR 2024Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
120. ICLR 2024Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance
121. ICLR 2024Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
122. ICLR 2024Learning to Embed Time Series Patches Independently
123. ICLR 2024LEMON: Lossless model expansion
124. ICLR 2024Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
125. ICLR 2024LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
126. ICLR 2024LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
127. ICLR 2024Linear Log-Normal Attention with Unbiased Concentration
128. ICLR 2024Looped Transformers are Better at Learning Learning Algorithms
129. ICLR 2024M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
130. ICLR 2024Masked Completion via Structured Diffusion with White-Box Transformers
131. ICLR 2024Masked Structural Growth for 2x Faster Language Model Pre-training
132. ICLR 2024Masks, Signs, And Learning Rate Rewinding
133. ICLR 2024Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
134. ICLR 2024Memorization in Self-Supervised Learning Improves Downstream Generalization
135. ICLR 2024MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
136. ICLR 2024METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
137. ICLR 2024ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
138. ICLR 2024Modulate Your Spectrum in Self-Supervised Learning
139. ICLR 2024Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
140. ICLR 2024Multi-View Causal Representation Learning with Partial Observability
141. ICLR 2024Multilinear Operator Networks
142. ICLR 2024Multimodal Patient Representation Learning with Missing Modalities and Labels
143. ICLR 2024Multiscale Positive-Unlabeled Detection of AI-Generated Texts
144. ICLR 2024NetInfoF Framework: Measuring and Exploiting Network Usable Information
145. ICLR 2024Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
146. ICLR 2024Neural Active Learning Beyond Bandits
147. ICLR 2024Neural Fourier Transform: A General Approach to Equivariant Representation Learning
148. ICLR 2024Neural Language of Thought Models
149. ICLR 2024Neural Optimal Transport with General Cost Functionals
150. ICLR 2024Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice

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.