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

553 papers, page 6 of 12

251. ICLR 2024Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
252. ICLR 2024Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
253. ICLR 2024Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
254. ICLR 2024Poly-View Contrastive Learning
255. ICLR 2024Predicting Emergent Abilities with Infinite Resolution Evaluation
256. ICLR 2024Provable Compositional Generalization for Object-Centric Learning
257. ICLR 2024Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
258. ICLR 2024PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
259. ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
260. ICLR 2024Querying Easily Flip-flopped Samples for Deep Active Learning
261. ICLR 2024ReLoRA: High-Rank Training Through Low-Rank Updates
262. ICLR 2024ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
263. ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
264. ICLR 2024Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
265. ICLR 2024Rethinking the Uniformity Metric in Self-Supervised Learning
266. ICLR 2024Robust Similarity Learning with Difference Alignment Regularization
267. ICLR 2024Robust Training of Federated Models with Extremely Label Deficiency
268. ICLR 2024Robustifying and Boosting Training-Free Neural Architecture Search
269. ICLR 2024RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
270. ICLR 2024Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
271. ICLR 2024SAS: Structured Activation Sparsification
272. ICLR 2024Scalable Monotonic Neural Networks
273. ICLR 2024Scaling Laws of RoPE-based Extrapolation
274. ICLR 2024Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
275. ICLR 2024SemiReward: A General Reward Model for Semi-supervised Learning
276. ICLR 2024Set Learning for Accurate and Calibrated Models
277. ICLR 2024SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
278. ICLR 2024Simplifying Transformer Blocks
279. ICLR 2024Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
280. ICLR 2024Sparse Autoencoders Find Highly Interpretable Features in Language Models
281. ICLR 2024Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
282. ICLR 2024Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
283. ICLR 2024Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
284. ICLR 2024Spurious Feature Diversification Improves Out-of-distribution Generalization
285. ICLR 2024Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
286. ICLR 2024STARC: A General Framework For Quantifying Differences Between Reward Functions
287. ICLR 2024State Representation Learning Using an Unbalanced Atlas
288. ICLR 2024StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
289. ICLR 2024Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
290. ICLR 2024SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
291. ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
292. ICLR 2024Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
293. ICLR 2024Teaching Arithmetic to Small Transformers
294. ICLR 2024The Alignment Problem from a Deep Learning Perspective
295. ICLR 2024The Expressive Power of Transformers with Chain of Thought
296. ICLR 2024The mechanistic basis of data dependence and abrupt learning in an in-context classification task
297. ICLR 2024Time-Varying Propensity Score to Bridge the Gap between the Past and Present
298. ICLR 2024To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
299. ICLR 2024Topological data analysis on noisy quantum computers
300. ICLR 2024Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization

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.