General ML · unsupervised and semisupervised learning papers, 2023–2026
General machine learning: unsupervised_and_semisupervised_learning
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,683 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 318 | 87 | 157 | 87 | 649 |
| 2024 | 118 | 236 | 115 | 84 | 553 |
| 2025 | 203 | 174 | 239 | 66 | 682 |
| 2026 | 194 | 187 | 348 | 70 | 799 |
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 44 of 54
- ICLR 2023GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
- ICLR 2023Hebbian Deep Learning Without Feedback
- ICLR 2023Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
- ICLR 2023How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
- ICLR 2023How robust is unsupervised representation learning to distribution shift?
- ICLR 2023How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
- ICLR 2023Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
- ICLR 2023Information-Theoretic Analysis of Unsupervised Domain Adaptation
- ICLR 2023Kernel Neural Optimal Transport
- ICLR 2023Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
- ICLR 2023Learning where and when to reason in neuro-symbolic inference
- ICLR 2023Memorization Capacity of Neural Networks with Conditional Computation
- ICLR 2023Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
- ICLR 2023Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN
- ICLR 2023NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs
- ICLR 2023Neural Systematic Binder
- ICLR 2023Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
- ICLR 2023On Achieving Optimal Adversarial Test Error
- ICLR 2023On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
- ICLR 2023One Transformer Can Understand Both 2D & 3D Molecular Data
- ICLR 2023Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
- ICLR 2023PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
- ICLR 2023Parametrizing Product Shape Manifolds by Composite Networks
- ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
- ICLR 2023Proposal-Contrastive Pretraining for Object Detection from Fewer Data
- ICLR 2023Pseudoinverse-Guided Diffusion Models for Inverse Problems
- ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
- ICLR 2023RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
- ICLR 2023Robust and Controllable Object-Centric Learning through Energy-based Models
- ICLR 2023Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
- ICLR 2023Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
- ICLR 2023Semi-Parametric Inducing Point Networks and Neural Processes
- ICLR 2023Sign and Basis Invariant Networks for Spectral Graph Representation Learning
- ICLR 2023Simple and Scalable Nearest Neighbor Machine Translation
- ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
- ICLR 2023SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
- ICLR 2023Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
- ICLR 2023Statistical Guarantees for Consensus Clustering
- ICLR 2023Stay Moral and Explore: Learn to Behave Morally in Text-based Games
- ICLR 2023Stochastic No-regret Learning for General Games with Variance Reduction
- ICLR 2023STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
- ICLR 2023Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
- ICLR 2023The hidden uniform cluster prior in self-supervised learning
- ICLR 2023The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
- ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
- ICLR 2023TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
- ICLR 2023Token Merging: Your ViT But Faster
- ICLR 2023Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
- ICLR 2023UNICORN: A Unified Backdoor Trigger Inversion Framework
- ICLR 2023Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
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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.