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

2,682 papers, page 43 of 54

2101. CVPR 2023Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
2102. CVPR 2023Unifying Short and Long-Term Tracking With Graph Hierarchies
2103. CVPR 2023Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
2104. CVPR 2023Unsupervised Continual Semantic Adaptation Through Neural Rendering
2105. CVPR 2023Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
2106. CVPR 2023Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
2107. CVPR 2023Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity
2108. CVPR 2023Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
2109. CVPR 2023Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation
2110. CVPR 2023Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors
2111. CVPR 2023Unsupervised Intrinsic Image Decomposition With LiDAR Intensity
2112. CVPR 2023Unsupervised Object Localization: Observing the Background To Discover Objects
2113. CVPR 2023Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
2114. CVPR 2023Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
2115. CVPR 2023Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
2116. CVPR 2023Unsupervised Volumetric Animation
2117. CVPR 2023Upcycling Models Under Domain and Category Shift
2118. CVPR 2023Variational Distribution Learning for Unsupervised Text-to-Image Generation
2119. CVPR 2023Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations
2120. CVPR 2023Why Is the Winner the Best?
2121. ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
2122. ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
2123. ICLR 2023A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
2124. ICLR 2023A Theoretical Framework for Inference and Learning in Predictive Coding Networks
2125. ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
2126. ICLR 2023Agnostic Learning of General ReLU Activation Using Gradient Descent
2127. ICLR 2023Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
2128. ICLR 2023Can discrete information extraction prompts generalize across language models?
2129. ICLR 2023Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
2130. ICLR 2023Characterizing intrinsic compositionality in transformers with Tree Projections
2131. ICLR 2023Choreographer: Learning and Adapting Skills in Imagination
2132. ICLR 2023CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
2133. ICLR 2023Code Translation with Compiler Representations
2134. ICLR 2023Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
2135. ICLR 2023Contextual Convolutional Networks
2136. ICLR 2023Continual Unsupervised Disentangling of Self-Organizing Representations
2137. ICLR 2023ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
2138. ICLR 2023Contrastive Learning for Unsupervised Domain Adaptation of Time Series
2139. ICLR 2023Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
2140. ICLR 2023D4AM: A General Denoising Framework for Downstream Acoustic Models
2141. ICLR 2023Data augmentation alone can improve adversarial training
2142. ICLR 2023Deep Ensembles for Graphs with Higher-order Dependencies
2143. ICLR 2023Diffusion Posterior Sampling for General Noisy Inverse Problems
2144. ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
2145. ICLR 2023EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
2146. ICLR 2023Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
2147. ICLR 2023FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
2148. ICLR 2023gDDIM: Generalized denoising diffusion implicit models
2149. ICLR 2023General Neural Gauge Fields
2150. ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap

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.