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 9 of 17

401. NeurIPS 2024Adaptive Exploration for Data-Efficient General Value Function Evaluations
402. NeurIPS 2024Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
403. NeurIPS 2024Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
404. NeurIPS 2024Approximately Equivariant Neural Processes
405. NeurIPS 2024ARC: A Generalist Graph Anomaly Detector with In-Context Learning
406. NeurIPS 2024Are Graph Neural Networks Optimal Approximation Algorithms?
407. NeurIPS 2024Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
408. NeurIPS 2024Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
409. NeurIPS 2024CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
410. NeurIPS 2024Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
411. NeurIPS 2024Contextual Multinomial Logit Bandits with General Value Functions
412. NeurIPS 2024Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
413. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
414. NeurIPS 2024Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
415. NeurIPS 2024Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features
416. NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
417. NeurIPS 2024Directional Smoothness and Gradient Methods: Convergence and Adaptivity
418. NeurIPS 2024Discovering plasticity rules that organize and maintain neural circuits
419. NeurIPS 2024Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
420. NeurIPS 2024Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
421. NeurIPS 2024Do's and Don'ts: Learning Desirable Skills with Instruction Videos
422. NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
423. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
424. NeurIPS 2024Expected Probabilistic Hierarchies
425. NeurIPS 2024Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
426. NeurIPS 2024FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
427. NeurIPS 2024Flatten Anything: Unsupervised Neural Surface Parameterization
428. NeurIPS 2024From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
429. NeurIPS 2024General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process
430. NeurIPS 2024General bounds on the quality of Bayesian coresets
431. NeurIPS 2024General Detection-based Text Line Recognition
432. NeurIPS 2024GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
433. NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
434. NeurIPS 2024GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
435. NeurIPS 2024Graph Edit Distance with General Costs Using Neural Set Divergence
436. NeurIPS 2024Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
437. NeurIPS 2024GTA: A Benchmark for General Tool Agents
438. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
439. NeurIPS 2024Identify Then Recommend: Towards Unsupervised Group Recommendation
440. NeurIPS 2024Identifying General Mechanism Shifts in Linear Causal Representations
441. NeurIPS 2024Identifying Selections for Unsupervised Subtask Discovery
442. NeurIPS 2024ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
443. NeurIPS 2024Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces
444. NeurIPS 2024Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
445. NeurIPS 2024IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
446. NeurIPS 2024Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
447. NeurIPS 2024InversionView: A General-Purpose Method for Reading Information from Neural Activations
448. NeurIPS 2024IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
449. NeurIPS 2024Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
450. NeurIPS 2024Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models

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.