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 48 of 54

2351. ICML 2023The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
2352. ICML 2023Theory on Forgetting and Generalization of Continual Learning
2353. ICML 2023Toward Large Kernel Models
2354. ICML 2023Towards Understanding Generalization of Macro-AUC in Multi-label Learning
2355. ICML 2023Transformers as Algorithms: Generalization and Stability in In-context Learning
2356. ICML 2023UMD: Unsupervised Model Detection for X2X Backdoor Attacks
2357. ICML 2023Underspecification Presents Challenges for Credibility in Modern Machine Learning
2358. ICML 2023Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective
2359. ICML 2023Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
2360. ICML 2023Unlocking Slot Attention by Changing Optimal Transport Costs
2361. ICML 2023Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
2362. ICML 2023Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments
2363. ICML 2023Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
2364. ICML 2023Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
2365. NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
2366. NeurIPS 2023$H$-Consistency Bounds: Characterization and Extensions
2367. NeurIPS 2023$L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting
2368. NeurIPS 2023$p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
2369. NeurIPS 2023$SE(3)$ Equivariant Convolution and Transformer in Ray Space
2370. NeurIPS 2023A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings
2371. NeurIPS 2023A Competitive Algorithm for Agnostic Active Learning
2372. NeurIPS 2023A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
2373. NeurIPS 2023A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions
2374. NeurIPS 2023A General Framework for Equivariant Neural Networks on Reductive Lie Groups
2375. NeurIPS 2023A General Framework for Robust G-Invariance in G-Equivariant Networks
2376. NeurIPS 2023A General Theory of Correct, Incorrect, and Extrinsic Equivariance
2377. NeurIPS 2023A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence
2378. NeurIPS 2023A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories
2379. NeurIPS 2023A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications
2380. NeurIPS 2023A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
2381. NeurIPS 2023A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
2382. NeurIPS 2023A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
2383. NeurIPS 2023A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
2384. NeurIPS 2023A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
2385. NeurIPS 2023A Unified Model and Dimension for Interactive Estimation
2386. NeurIPS 2023A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning
2387. NeurIPS 2023Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
2388. NeurIPS 2023Accessing Higher Dimensions for Unsupervised Word Translation
2389. NeurIPS 2023Active representation learning for general task space with applications in robotics
2390. NeurIPS 2023Adaptive Linear Estimating Equations
2391. NeurIPS 2023Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
2392. NeurIPS 2023Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
2393. NeurIPS 2023Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
2394. NeurIPS 2023Adversarially Robust Learning with Uncertain Perturbation Sets
2395. NeurIPS 2023Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
2396. NeurIPS 2023An Adaptive Algorithm for Learning with Unknown Distribution Drift
2397. NeurIPS 2023Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
2398. NeurIPS 2023Auditing for Human Expertise
2399. NeurIPS 2023Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces
2400. NeurIPS 2023Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release

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.