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

798 papers, page 16 of 16

751. NeurIPS 2026S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation
752. NeurIPS 2026S²MoE: Shared-Subspace Mixture of Sparse Experts
753. NeurIPS 2026Second-Order Complexity Theory for Risk, Explanation, and Calibration in Machine Learning
754. NeurIPS 2026Self-Recognition Finetuning can Reverse and Prevent Emergent Misalignment
755. NeurIPS 2026SemGeo-Gen: Unsupervised Generation of Approximate Cross-Instance Semantic-Geometric Correspondences
756. NeurIPS 2026Settling Pure Differentially Private Covariance Estimation
757. NeurIPS 2026ShiftRAG: Bypassing the Textual Bottleneck via Decoupled Learning and Continuous Soft Tokens
758. NeurIPS 2026Simulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty
759. NeurIPS 2026Sparse Koopman Autoencoders Identify Local Dynamical Regimes in Multibasin Systems
760. NeurIPS 2026Sparsifying Correlation Clustering: Edge Coresets, Triangle Witnesses, and Observation Lower Bounds
761. NeurIPS 2026SPATIALEPIBENCH: Benchmarking Spatial Information and Epidemic Priors in Forecasting
762. NeurIPS 2026State-Action Selection in General Stochastic Games under Regularized Policy Gradient Methods
763. NeurIPS 2026State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives
764. NeurIPS 2026Subdata Selection: A Unified Framework for Optimal Selection and Statistical Efficiency Assessment
765. NeurIPS 2026Submodular Benchmark Selection
766. NeurIPS 2026Subspace-Guided Continual Learning: Hessian Based Stable–Plastic Decomposition for Exemplar-Free Class-Incremental Learning
767. NeurIPS 2026Symmetry Guarantees Statistic Recovery in Variational Inference
768. NeurIPS 2026Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data
769. NeurIPS 2026TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering
770. NeurIPS 2026TabK: Amortized Bayesian Estimation of the Number of Clusters in Tabular Data
771. NeurIPS 2026TENET: Time-point Encoding Network for Multivariate Time Series Anomaly Detection
772. NeurIPS 2026Testable Learning of General Halfspaces under Massart Noise
773. NeurIPS 2026The BV4 Benchmark for Unsupervised Anomaly Detection in High-Dimensional Spectral Data Streams
774. NeurIPS 2026The parameters in weight-sparse transformers are interpretable
775. NeurIPS 2026The Query Complexity of Local Search in Rounds on General Graphs
776. NeurIPS 2026The Sample Complexity of Multiple Change Point Identification under Bandit Feedback
777. NeurIPS 2026The Sampling Complexity of Condorcet Winner Identification in Dueling Bandits
778. NeurIPS 2026TILT: Target-induced loss tilting under covariate shift
779. NeurIPS 2026ToMAToMP: Robust and Multi-Parameter Topological Clustering
780. NeurIPS 2026TopoPrune: Robust Data Pruning via Unified Latent Space Topology
781. NeurIPS 2026Towards Identifiable Latent Additive Noise Models
782. NeurIPS 2026Towards more general control of diffusion models using Jeffrey Guidance
783. NeurIPS 2026Towards Understanding the Power and Limits of the Muon Optimizer: A River-Valley Perspective
784. NeurIPS 2026Tracing Actual Causes with Counterfactual Witness Maps
785. NeurIPS 2026Tree Search With Predictions
786. NeurIPS 2026Trust Region Continual Learning as an Implicit Meta-Learner
787. NeurIPS 2026UGGRH: Unsupervised Generative Completion and Graph-attention Refinement for Incomplete Cross-modal Hashing
788. NeurIPS 2026UniRAP: Towards Unified Part-level Physical Affordance Reasoning and Actionable Perception
789. NeurIPS 2026Unpaired Canonical Correlation Analysis
790. NeurIPS 2026Unrolled gradients in disguise: bridging interpolation-based and Jacobian regularization for stable neural dynamics
791. NeurIPS 2026Unsupervised Concept Discovery with Dirichlet Concept Diffusion Models
792. NeurIPS 2026Virtual-Flow: Virtual Microphone-based Speech Enhancement via Unsupervised Flow Matching
793. NeurIPS 2026What the Geometry of Good Models Tells Us
794. NeurIPS 2026What Transformer FFNs Never See: Theory, Diagnosis, and Lightweight Remediation
795. NeurIPS 2026When and Why is Optimistic Multiplicative Weights Slow? The Geometry of Energy Dissipation
796. NeurIPS 2026Words That Make Language Models Perceive
797. NeurIPS 2026You Don’t Need Aligned Representations: Knowledge Distillation via Random Prototype Spaces
798. NeurIPS 2026Your Embedding Model Is SMARTer Than You Think

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.