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 33 of 54

1601. ICLR 2024Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
1602. ICLR 2024Compressing Latent Space via Least Volume
1603. ICLR 2024Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
1604. ICLR 2024ConR: Contrastive Regularizer for Deep Imbalanced Regression
1605. ICLR 2024Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
1606. ICLR 2024Continuous Invariance Learning
1607. ICLR 2024Contrastive Learning is Spectral Clustering on Similarity Graph
1608. ICLR 2024Course Correcting Koopman Representations
1609. ICLR 2024CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
1610. ICLR 2024DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
1611. ICLR 2024Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
1612. ICLR 2024DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
1613. ICLR 2024Deep Neural Networks Tend To Extrapolate Predictably
1614. ICLR 2024Deep Temporal Graph Clustering
1615. ICLR 2024Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
1616. ICLR 2024Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
1617. ICLR 2024Discovering modular solutions that generalize compositionally
1618. ICLR 2024Dissecting learning and forgetting in language model finetuning
1619. ICLR 2024Diving Segmentation Model into Pixels
1620. ICLR 2024Do Generated Data Always Help Contrastive Learning?
1621. ICLR 2024DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
1622. ICLR 2024Dynamic Sparse Training with Structured Sparsity
1623. ICLR 2024DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
1624. ICLR 2024Early Stopping Against Label Noise Without Validation Data
1625. ICLR 2024Effective Data Augmentation With Diffusion Models
1626. ICLR 2024Efficient ConvBN Blocks for Transfer Learning and Beyond
1627. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
1628. ICLR 2024Efficient local linearity regularization to overcome catastrophic overfitting
1629. ICLR 2024Energy-guided Entropic Neural Optimal Transport
1630. ICLR 2024Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
1631. ICLR 2024Ensemble Distillation for Unsupervised Constituency Parsing
1632. ICLR 2024Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
1633. ICLR 2024Exploring Diffusion Time-steps for Unsupervised Representation Learning
1634. ICLR 2024Exploring the Promise and Limits of Real-Time Recurrent Learning
1635. ICLR 2024Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
1636. ICLR 2024Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
1637. ICLR 2024Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
1638. ICLR 2024Faster Approximation of Probabilistic and Distributional Values via Least Squares
1639. ICLR 2024Federated Wasserstein Distance
1640. ICLR 2024FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
1641. ICLR 2024FedImpro: Measuring and Improving Client Update in Federated Learning
1642. ICLR 2024FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
1643. ICLR 2024Finite Scalar Quantization: VQ-VAE Made Simple
1644. ICLR 2024Flow Matching on General Geometries
1645. ICLR 2024From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
1646. ICLR 2024G$^2$N$^2$ : Weisfeiler and Lehman go grammatical
1647. ICLR 2024GAIA: a benchmark for General AI Assistants
1648. ICLR 2024General Graph Random Features
1649. ICLR 2024General Stability Analysis for Zeroth-Order Optimization Algorithms
1650. ICLR 2024Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions

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.