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 15 of 54

701. NeurIPS 2026MaxSketch: Robust Distinct Counting in Streams via Random Projections
702. NeurIPS 2026Measuring and Strengthening Behavioral Suppression in Language Models
703. NeurIPS 2026MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models
704. NeurIPS 2026MedVTok: A General-Purpose Medical Visual Tokenizer
705. NeurIPS 2026MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging
706. NeurIPS 2026Memorization Is Folding: Topological Signatures of Noisy-Label Learning
707. NeurIPS 2026Mini-batch kernel $k$-means
708. NeurIPS 2026Minimax Rates and Spectral Distillation for Tree Ensembles
709. NeurIPS 2026MinSteer: Minimal-Pair Steering via Two-Stage Cached Continuation
710. NeurIPS 2026Mirror descent actor-critic methods for entropy regularised MDPs in general spaces: stability and convergence
711. NeurIPS 2026MMSkills: Towards Multimodal Skills for General Visual Agents
712. NeurIPS 2026Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP
713. NeurIPS 2026ModelLens: Finding the Best for Your Task from Myriads of Models
714. NeurIPS 2026MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
715. NeurIPS 2026Network Learning with Semi-relaxed Gromov-Wasserstein
716. NeurIPS 2026Neural Backward Filtering Forward Guiding
717. NeurIPS 2026Not All Instances Should Contribute Equally: Sparse Support Grounding via Unbalanced Transport for Heterogeneous MIL
718. NeurIPS 2026ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow
719. NeurIPS 2026Offline Constrained Reinforcement Learning under Partial Data Coverage
720. NeurIPS 2026Omni-Interactive Universal Embedder
721. NeurIPS 2026Omni-Safety under Cross-Modality Conflict: Vulnerabilities, Dynamic Mechanisms and Efficient Alignment
722. NeurIPS 2026On the Complexity of Offline Reinforcement Learning with Q*-Approximation and Partial Coverage
723. NeurIPS 2026On the Effect of Token Correlations on Semantic Transfer in Transformers
724. NeurIPS 2026On the Provable Emergence of Hierarchical Concept Structure in CLIP Embeddings
725. NeurIPS 2026One Unified Representation: Resolving the Appearance-Semantics Dilemma via Structural Regularization
726. NeurIPS 2026Online Maximization of Non-Decomposable Test and Population Utilities
727. NeurIPS 2026OpenWhistle: A Large-Scale Longitudinal Dataset and Benchmark of Bottlenose Dolphin Vocalizations
728. NeurIPS 2026Optimal and Efficient Contextual Combinatorial Semi-bandits with General Function Approximation
729. NeurIPS 2026Optimal Convergence Analysis of DDPM for General Distributions
730. NeurIPS 2026Optimal Hidden-Target Learning for Online Inventory Optimization on General Convex Sets
731. NeurIPS 2026PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting
732. NeurIPS 2026Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation
733. NeurIPS 2026Pattern-Based Matrix Analysis Under Permutations
734. NeurIPS 2026PENEX: AdaBoost-Inspired Neural Network Regularization
735. NeurIPS 2026PGSB: Pretrained-Guided Shared Basis for LoRA Model Merging
736. NeurIPS 2026Phase Transitions in Heavy-Tailed Mean Estimation under $\ell_p$ Norms
737. NeurIPS 2026Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
738. NeurIPS 2026Platonic Task Arithmetic
739. NeurIPS 2026PM-LoRA: Scalable Continual Learning via Progressive Merging of Low Rank Adapters
740. NeurIPS 2026Prediction-Intervention Games and Invariant Sets
741. NeurIPS 2026PRISM: Phenotype-Resolved Inference in Single-Cell Mixed Models via Latent Disease States and Contextualized Differential Expression
742. NeurIPS 2026PRISMIC: Reconstructing User Preference via Intent Decomposition and Consolidation
743. NeurIPS 2026Progressive Pseudo-label Self-balancing Towards Unsupervised Vision-Language Models Adaptation
744. NeurIPS 2026Proximal Difference-in-Differences for Long-Term Causal Learning under Confounding and Outcome Drift
745. NeurIPS 2026RAPTOR: Ridge-Adaptive Logistic Probes
746. NeurIPS 2026Reading Between the Dots: Decoding Hidden Computation across Filler Tokens
747. NeurIPS 2026Reliable Clustering and Quantization via Distortion-Constrained Optimal Transport
748. NeurIPS 2026Rethinking Sequential Locate-Then-Edit: Optimality and Stability
749. NeurIPS 2026Revisiting Subgradient Dominance in Robust MDPs: Counterexamples, Hardness, and Sufficient Conditions
750. NeurIPS 2026Root Cause Analysis of Measurement and Mechanistic Anomalies

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.