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

682 papers, page 11 of 14

501. NeurIPS 2025Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability
502. NeurIPS 2025Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification
503. NeurIPS 2025BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
504. NeurIPS 2025Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
505. NeurIPS 2025BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
506. NeurIPS 2025Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
507. NeurIPS 2025Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
508. NeurIPS 2025CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
509. NeurIPS 2025CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
510. NeurIPS 2025Causal Mixture Models: Characterization and Discovery
511. NeurIPS 2025CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
512. NeurIPS 2025Chain of Execution Supervision Promotes General Reasoning in Large Language Models
513. NeurIPS 2025CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
514. NeurIPS 2025CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
515. NeurIPS 2025Collapsing Taylor Mode Automatic Differentiation
516. NeurIPS 2025ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback
517. NeurIPS 2025Composing Linear Layers from Irreducibles
518. NeurIPS 2025Conditional Distribution Compression via the Kernel Conditional Mean Embedding
519. NeurIPS 2025Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions
520. NeurIPS 2025Conditional Representation Learning for Customized Tasks
521. NeurIPS 2025Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery
522. NeurIPS 2025Constrained Best Arm Identification
523. NeurIPS 2025Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
524. NeurIPS 2025Continual Multimodal Contrastive Learning
525. NeurIPS 2025Continuous Simplicial Neural Networks
526. NeurIPS 2025CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
527. NeurIPS 2025CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
528. NeurIPS 2025Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
529. NeurIPS 2025Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method
530. NeurIPS 2025DGCBench: A Deep Graph Clustering Benchmark
531. NeurIPS 2025Differentiable Generalized Sliced Wasserstein Plans
532. NeurIPS 2025Differentiable Structure Learning and Causal Discovery for General Binary Data
533. NeurIPS 2025Disentangled Representation Learning via Modular Compositional Bias
534. NeurIPS 2025Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
535. NeurIPS 2025Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
536. NeurIPS 2025DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation
537. NeurIPS 2025Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio
538. NeurIPS 2025Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
539. NeurIPS 2025Efficient Representativeness-Aware Coreset Selection
540. NeurIPS 2025Energy-based generator matching: A neural sampler for general state space
541. NeurIPS 2025Enhancing Contrastive Learning with Variable Similarity
542. NeurIPS 2025Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
543. NeurIPS 2025Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
544. NeurIPS 2025Entropy-Calibrated Label Distribution Learning
545. NeurIPS 2025Estimating Model Performance Under Covariate Shift Without Labels
546. NeurIPS 2025EUGens: Efficient, Unified and General Dense Layers
547. NeurIPS 2025Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
548. NeurIPS 2025FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
549. NeurIPS 2025FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation
550. NeurIPS 2025Fast MRI for All: Bridging Access Gaps by Training without Raw Data

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.