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

833 papers, page 17 of 17

801. NeurIPS 2023Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
802. NeurIPS 2023Towards robust and generalizable representations of extracellular data using contrastive learning
803. NeurIPS 2023Trade-off Between Efficiency and Consistency for Removal-based Explanations
804. NeurIPS 2023Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
805. NeurIPS 2023Transfer Learning with Affine Model Transformation
806. NeurIPS 2023Trial matching: capturing variability with data-constrained spiking neural networks
807. NeurIPS 2023UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
808. NeurIPS 2023Unbalanced Low-rank Optimal Transport Solvers
809. NeurIPS 2023Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
810. NeurIPS 2023Understanding and Improving Feature Learning for Out-of-Distribution Generalization
811. NeurIPS 2023Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes
812. NeurIPS 2023Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
813. NeurIPS 2023Universality and Limitations of Prompt Tuning
814. NeurIPS 2023Unlocking Deterministic Robustness Certification on ImageNet
815. NeurIPS 2023UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures
816. NeurIPS 2023Unsupervised Anomaly Detection with Rejection
817. NeurIPS 2023Unsupervised Behavior Extraction via Random Intent Priors
818. NeurIPS 2023Unsupervised Image Denoising with Score Function
819. NeurIPS 2023Unsupervised Learning for Solving the Travelling Salesman Problem
820. NeurIPS 2023Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
821. NeurIPS 2023Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
822. NeurIPS 2023Unsupervised Semantic Correspondence Using Stable Diffusion
823. NeurIPS 2023Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
824. NeurIPS 2023Use perturbations when learning from explanations
825. NeurIPS 2023V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
826. NeurIPS 2023WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
827. NeurIPS 2023Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning
828. NeurIPS 2023When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
829. NeurIPS 2023When Can We Track Significant Preference Shifts in Dueling Bandits?
830. NeurIPS 2023xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
831. NeurIPS 2023Zero-shot causal learning
832. NeurIPS 2023Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria
833. NeurIPS 2023Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization

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.