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
684 papers, page 13 of 14
- ICLR 2023A Theoretical Framework for Inference and Learning in Predictive Coding Networks
- ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
- ICLR 2023Agnostic Learning of General ReLU Activation Using Gradient Descent
- ICLR 2023Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
- ICLR 2023Can discrete information extraction prompts generalize across language models?
- ICLR 2023Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
- ICLR 2023Characterizing intrinsic compositionality in transformers with Tree Projections
- ICLR 2023Choreographer: Learning and Adapting Skills in Imagination
- ICLR 2023CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
- ICLR 2023Code Translation with Compiler Representations
- ICLR 2023Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
- ICLR 2023Contextual Convolutional Networks
- ICLR 2023Continual Unsupervised Disentangling of Self-Organizing Representations
- ICLR 2023ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
- ICLR 2023Contrastive Learning for Unsupervised Domain Adaptation of Time Series
- ICLR 2023Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
- ICLR 2023D4AM: A General Denoising Framework for Downstream Acoustic Models
- ICLR 2023Data augmentation alone can improve adversarial training
- ICLR 2023Deep Ensembles for Graphs with Higher-order Dependencies
- ICLR 2023Diffusion Posterior Sampling for General Noisy Inverse Problems
- ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
- ICLR 2023EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
- ICLR 2023Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
- ICLR 2023FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
- ICLR 2023gDDIM: Generalized denoising diffusion implicit models
- ICLR 2023General Neural Gauge Fields
- ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
- 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
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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.