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

684 papers, page 11 of 14

501. ICLR 2024Multi-View Causal Representation Learning with Partial Observability
502. ICLR 2024Multilinear Operator Networks
503. ICLR 2024Multimodal Patient Representation Learning with Missing Modalities and Labels
504. ICLR 2024Multiscale Positive-Unlabeled Detection of AI-Generated Texts
505. ICLR 2024NetInfoF Framework: Measuring and Exploiting Network Usable Information
506. ICLR 2024Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
507. ICLR 2024Neural Active Learning Beyond Bandits
508. ICLR 2024Neural Fourier Transform: A General Approach to Equivariant Representation Learning
509. ICLR 2024Neural Language of Thought Models
510. ICLR 2024Neural Optimal Transport with General Cost Functionals
511. ICLR 2024Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
512. ICLR 2024Non-negative Contrastive Learning
513. ICLR 2024Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
514. ICLR 2024NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
515. ICLR 2024ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
516. ICLR 2024OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
517. ICLR 2024On Bias-Variance Alignment in Deep Models
518. ICLR 2024On Harmonizing Implicit Subpopulations
519. ICLR 2024On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
520. ICLR 2024On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
521. ICLR 2024On the Provable Advantage of Unsupervised Pretraining
522. ICLR 2024On the Role of General Function Approximation in Offline Reinforcement Learning
523. ICLR 2024P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
524. ICLR 2024Parallelizing non-linear sequential models over the sequence length
525. ICLR 2024Parametric Augmentation for Time Series Contrastive Learning
526. ICLR 2024Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
527. ICLR 2024Perceptual Group Tokenizer: Building Perception with Iterative Grouping
528. ICLR 2024Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
529. ICLR 2024Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
530. ICLR 2024Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
531. ICLR 2024Poly-View Contrastive Learning
532. ICLR 2024Predicting Emergent Abilities with Infinite Resolution Evaluation
533. ICLR 2024Provable Compositional Generalization for Object-Centric Learning
534. ICLR 2024Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
535. ICLR 2024PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
536. ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
537. ICLR 2024Querying Easily Flip-flopped Samples for Deep Active Learning
538. ICLR 2024ReLoRA: High-Rank Training Through Low-Rank Updates
539. ICLR 2024ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
540. ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
541. ICLR 2024Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
542. ICLR 2024Rethinking the Uniformity Metric in Self-Supervised Learning
543. ICLR 2024Robust Similarity Learning with Difference Alignment Regularization
544. ICLR 2024Robust Training of Federated Models with Extremely Label Deficiency
545. ICLR 2024Robustifying and Boosting Training-Free Neural Architecture Search
546. ICLR 2024RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
547. ICLR 2024Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
548. ICLR 2024SAS: Structured Activation Sparsification
549. ICLR 2024Scalable Monotonic Neural Networks
550. ICLR 2024Scaling Laws of RoPE-based Extrapolation

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.