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

859 papers, page 12 of 18

551. ICML 2025The Batch Complexity of Bandit Pure Exploration
552. ICML 2025The Complexity of Learning Sparse Superposed Features with Feedback
553. ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
554. ICML 2025The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
555. ICML 2025The Relationship Between No-Regret Learning and Online Conformal Prediction
556. ICML 2025Tight and Fast Bounds for Multi-Label Learning
557. ICML 2025Time Series Representations with Hard-Coded Invariances
558. ICML 2025TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
559. ICML 2025To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers
560. ICML 2025Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
561. ICML 2025Towards an Explainable Comparison and Alignment of Feature Embeddings
562. ICML 2025Towards Lifelong Model Editing via Simulating Ideal Editor
563. ICML 2025Towards Robustness and Explainability of Automatic Algorithm Selection
564. ICML 2025Towards the Causal Complete Cause of Multi-Modal Representation Learning
565. ICML 2025Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
566. ICML 2025Towards Understanding Parametric Generalized Category Discovery on Graphs
567. ICML 2025Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints
568. ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
569. ICML 2025Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
570. ICML 2025Unified K-Means Clustering with Label-Guided Manifold Learning
571. ICML 2025Universal Neural Optimal Transport
572. ICML 2025unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
573. ICML 2025Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
574. ICML 2025Unsupervised Learning for Class Distribution Mismatch
575. ICML 2025Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
576. ICML 2025Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
577. ICML 2025Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
578. ICML 2025Vision-Language Model Selection and Reuse for Downstream Adaptation
579. ICML 2025Volume Optimality in Conformal Prediction with Structured Prediction Sets
580. ICML 2025Volume-Aware Distance for Robust Similarity Learning
581. ICML 2025Wait-Less Offline Tuning and Re-solving for Online Decision Making
582. ICML 2025Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
583. ICML 2025Weakly-Supervised Contrastive Learning for Imprecise Class Labels
584. ICML 2025When Bad Data Leads to Good Models
585. ICML 2025When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
586. ICML 2025Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
587. ICML 2025Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer
588. ICML 2024A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
589. ICML 2024A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
590. ICML 2024A General Framework for Learning from Weak Supervision
591. ICML 2024A General Framework for Sequential Decision-Making under Adaptivity Constraints
592. ICML 2024A General Online Algorithm for Optimizing Complex Performance Metrics
593. ICML 2024A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
594. ICML 2024A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle
595. ICML 2024A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation
596. ICML 2024A3S: A General Active Clustering Method with Pairwise Constraints
597. ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
598. ICML 2024Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
599. ICML 2024Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
600. ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses

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.