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 30 of 54

1451. NeurIPS 2025Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
1452. NeurIPS 2025Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
1453. NeurIPS 2025Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
1454. NeurIPS 2025TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
1455. NeurIPS 2025Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
1456. NeurIPS 2025Transductive Conformal Inference for Full Ranking
1457. NeurIPS 2025Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
1458. NeurIPS 2025Tree-Sliced Entropy Partial Transport
1459. NeurIPS 2025TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception
1460. NeurIPS 2025Two‑Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion
1461. NeurIPS 2025U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
1462. NeurIPS 2025UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss
1463. NeurIPS 2025UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
1464. NeurIPS 2025Ultrametric Cluster Hierarchies: I Want ‘em All!
1465. NeurIPS 2025Uncertainty Estimation by Flexible Evidential Deep Learning
1466. NeurIPS 2025Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization
1467. NeurIPS 2025UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
1468. NeurIPS 2025Universal Sequence Preconditioning
1469. NeurIPS 2025Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
1470. NeurIPS 2025Unsupervised Federated Graph Learning
1471. NeurIPS 2025Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
1472. NeurIPS 2025Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs
1473. NeurIPS 2025Unveiling Transformer Perception by Exploring Input Manifolds
1474. NeurIPS 2025Valid Selection among Conformal Sets
1475. NeurIPS 2025VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion
1476. NeurIPS 2025Wasserstein Transfer Learning
1477. NeurIPS 2025Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
1478. NeurIPS 2025Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
1479. NeurIPS 2025Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework
1480. NeurIPS 2025ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
1481. CVPR 20243D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
1482. CVPR 2024A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
1483. CVPR 2024A General and Efficient Training for Transformer via Token Expansion
1484. CVPR 2024Absolute Pose from One or Two Scaled and Oriented Features
1485. CVPR 2024Aligning and Prompting Everything All at Once for Universal Visual Perception
1486. CVPR 2024An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
1487. CVPR 2024Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
1488. CVPR 2024BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
1489. CVPR 2024Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
1490. CVPR 2024Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
1491. CVPR 2024CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
1492. CVPR 2024CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
1493. CVPR 2024Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
1494. CVPR 2024Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
1495. CVPR 2024Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
1496. CVPR 2024Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
1497. CVPR 2024CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
1498. CVPR 2024Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
1499. CVPR 2024Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
1500. CVPR 2024DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly

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.