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

833 papers, page 5 of 17

201. NeurIPS 2025A$^3$E: Towards Compositional Model Editing
202. NeurIPS 2025Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
203. NeurIPS 2025Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory
204. NeurIPS 2025Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
205. NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
206. NeurIPS 2025AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
207. NeurIPS 2025AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
208. NeurIPS 2025Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
209. NeurIPS 2025Ascent Fails to Forget
210. NeurIPS 2025Asymptotic theory of SGD with a general learning-rate
211. NeurIPS 2025Attention-based clustering
212. NeurIPS 2025Autoencoding Random Forests
213. NeurIPS 2025Balancing Gradient and Hessian Queries in Non-Convex Optimization
214. NeurIPS 2025Balancing Performance and Costs in Best Arm Identification
215. NeurIPS 2025Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning
216. NeurIPS 2025Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability
217. NeurIPS 2025Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification
218. NeurIPS 2025BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
219. NeurIPS 2025Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
220. NeurIPS 2025BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
221. NeurIPS 2025Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
222. NeurIPS 2025Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
223. NeurIPS 2025CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
224. NeurIPS 2025CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
225. NeurIPS 2025Causal Mixture Models: Characterization and Discovery
226. NeurIPS 2025CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
227. NeurIPS 2025Chain of Execution Supervision Promotes General Reasoning in Large Language Models
228. NeurIPS 2025CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
229. NeurIPS 2025CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
230. NeurIPS 2025Collapsing Taylor Mode Automatic Differentiation
231. NeurIPS 2025ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback
232. NeurIPS 2025Composing Linear Layers from Irreducibles
233. NeurIPS 2025Conditional Distribution Compression via the Kernel Conditional Mean Embedding
234. NeurIPS 2025Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions
235. NeurIPS 2025Conditional Representation Learning for Customized Tasks
236. NeurIPS 2025Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery
237. NeurIPS 2025Constrained Best Arm Identification
238. NeurIPS 2025Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
239. NeurIPS 2025Continual Multimodal Contrastive Learning
240. NeurIPS 2025Continuous Simplicial Neural Networks
241. NeurIPS 2025CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
242. NeurIPS 2025CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
243. NeurIPS 2025Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
244. NeurIPS 2025Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method
245. NeurIPS 2025DGCBench: A Deep Graph Clustering Benchmark
246. NeurIPS 2025Differentiable Generalized Sliced Wasserstein Plans
247. NeurIPS 2025Differentiable Structure Learning and Causal Discovery for General Binary Data
248. NeurIPS 2025Disentangled Representation Learning via Modular Compositional Bias
249. NeurIPS 2025Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
250. NeurIPS 2025Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams

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.