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

348 papers, page 6 of 7

251. ICML 2026Remove the Ambiguity: Few-shot Multimodal Anomaly Detection Using Crossmodal Feature Replacers
252. ICML 2026Resilient Coresets and Clustering
253. ICML 2026Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View
254. ICML 2026Rethinking Sparse Mixture of Experts from a Unified Perspective
255. ICML 2026Return of Frustratingly Easy Unsupervised Video Domain Adaptation
256. ICML 2026Revisiting the Platonic Representation Hypothesis: An Aristotelian View
257. ICML 2026Revisiting the Role of Pretrained Weights in Model Merging: On Near-Optimality within the Core Subspace
258. ICML 2026Robust and Consistent Ski Rental with Distributional Advice
259. ICML 2026Robust Signal Enhancement via Fractional Detail Views and Knowledge Guided Multi-view Fusion
260. ICML 2026SC-FAGC: Size Constrained Fast Anchor-based Graph Clustering
261. ICML 2026Scalable and Interpretable Representation Alignment with Ordinal Similarity
262. ICML 2026Scale-Aware Domain Harmonization for Domain Adaptation Person Search
263. ICML 2026Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
264. ICML 2026Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces
265. ICML 2026ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
266. ICML 2026SE(n)-Invariant Flow Matching: A General Framework with Application to Object Reassembly
267. ICML 2026See, Act, Adapt: Active Perception for Unsupervised Cross-Domain Visual Adaptation via Personalized VLM-Guided Agent
268. ICML 2026Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
269. ICML 2026Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
270. ICML 2026Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression
271. ICML 2026Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
272. ICML 2026Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
273. ICML 2026Shared Semantics, Divergent Mechanisms: Unsupervised Feature Discovery by Aligning Semantics and Mechanisms
274. ICML 2026Sharp Inequalities between Total Variation and Hellinger Distances for Gaussian Mixtures
275. ICML 2026SIMPC: Learning Self-Induced Mirror-Point Consistency for Unsupervised Point Cloud Denoising
276. ICML 2026Sinkhorn Normalization of Diffusion Kernels
277. ICML 2026Sketch-Based Low-Rank Model Merging with Shared Circulant Transforms
278. ICML 2026SlaClip: Gradient Norm Slacks can be Indicator for Adaptive Clipping in DP-SGD
279. ICML 2026SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity
280. ICML 2026Solving Time-Dependent Differential Equations with Physical Dynamical Systems
281. ICML 2026Source-Free Open-World RF Fingerprint Identification
282. ICML 2026SpatioLM: Towards General Physical Spatial Intelligence in Vision-Language Models
283. ICML 2026Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training
284. ICML 2026Stabilizing Equation Learning via Zero-Point Constraints
285. ICML 2026Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds
286. ICML 2026Stochastic Linear Bandits with Parameter Noise
287. ICML 2026Streaming Sliced Optimal Transport
288. ICML 2026Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
289. ICML 2026SURF: Separation via Unsupervised Remixing Flow
290. ICML 2026Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection
291. ICML 2026Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance
292. ICML 2026Temporal Preference Optimization for Unsupervised Retrieval
293. ICML 2026The Accumulation of Score Estimation Error in Diffusion Models
294. ICML 2026The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust
295. ICML 2026The benefits of full data shuffle, now with optimal I/O cost: $k$-wise independence and matrix transposition to the rescue
296. ICML 2026The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
297. ICML 2026The Cost of Information: Phase Transitions in Contextual Bandits with Paid Observations
298. ICML 2026The Loss Is Not Enough: Sampling Conditions and Inductive Bias in Contrastive Representation Learning
299. ICML 2026The Relative Instability of Model Comparison with Cross-validation
300. ICML 2026Theoretical Investigation on Inductive Bias of Isolation Forest

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.