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

553 papers, page 3 of 12

101. ICLR 2024Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
102. ICLR 2024AffineQuant: Affine Transformation Quantization for Large Language Models
103. ICLR 2024Algorithms for Caching and MTS with reduced number of predictions
104. ICLR 2024Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
105. ICLR 2024Approximately Piecewise E(3) Equivariant Point Networks
106. ICLR 2024Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
107. ICLR 2024Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
108. ICLR 2024Attention-based Iterative Decomposition for Tensor Product Representation
109. ICLR 2024AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
110. ICLR 2024Batch normalization is sufficient for universal function approximation in CNNs
111. ICLR 2024BatchPrompt: Accomplish more with less
112. ICLR 2024BECLR: Batch Enhanced Contrastive Few-Shot Learning
113. ICLR 2024Benchmarking and Improving Generator-Validator Consistency of Language Models
114. ICLR 2024Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
115. ICLR 2024Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values
116. ICLR 2024Boosting Graph Anomaly Detection with Adaptive Message Passing
117. ICLR 2024Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
118. ICLR 2024Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
119. ICLR 2024CABINET: Content Relevance-based Noise Reduction for Table Question Answering
120. ICLR 2024Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
121. ICLR 2024Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
122. ICLR 2024Compressing Latent Space via Least Volume
123. ICLR 2024Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
124. ICLR 2024ConR: Contrastive Regularizer for Deep Imbalanced Regression
125. ICLR 2024Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
126. ICLR 2024Continuous Invariance Learning
127. ICLR 2024Contrastive Learning is Spectral Clustering on Similarity Graph
128. ICLR 2024Course Correcting Koopman Representations
129. ICLR 2024CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
130. ICLR 2024DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
131. ICLR 2024Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
132. ICLR 2024DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
133. ICLR 2024Deep Neural Networks Tend To Extrapolate Predictably
134. ICLR 2024Deep Temporal Graph Clustering
135. ICLR 2024Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
136. ICLR 2024Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
137. ICLR 2024Discovering modular solutions that generalize compositionally
138. ICLR 2024Dissecting learning and forgetting in language model finetuning
139. ICLR 2024Diving Segmentation Model into Pixels
140. ICLR 2024Do Generated Data Always Help Contrastive Learning?
141. ICLR 2024DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
142. ICLR 2024Dynamic Sparse Training with Structured Sparsity
143. ICLR 2024DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
144. ICLR 2024Early Stopping Against Label Noise Without Validation Data
145. ICLR 2024Effective Data Augmentation With Diffusion Models
146. ICLR 2024Efficient ConvBN Blocks for Transfer Learning and Beyond
147. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
148. ICLR 2024Efficient local linearity regularization to overcome catastrophic overfitting
149. ICLR 2024Energy-guided Entropic Neural Optimal Transport
150. ICLR 2024Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

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.