通用机器学习 · unsupervised and semisupervised learning论文趋势 2023–2026

主要结论

• 通用机器学习 · unsupervised and semisupervised learning论文从 2023 年的 649 篇增长到 2026 年的 799 篇，三年间扩大到约 1.2 倍。
• ICML 是发通用机器学习 · unsupervised and semisupervised learning论文最多的会议，2023–2026 年共 859 篇，占四个会议总量的 32%。
• 交叉方向里涨得最快的是深度学习 · self supervised learning：同时属于两个主题的论文从 2023 年的 23 篇增至 2026 年的 86 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 1；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · unsupervised and semisupervised learning是 1.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部通用机器学习 · unsupervised and semisupervised learning论文

共 682 篇，第 10 / 14 页

451. ICML 2025To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers
452. ICML 2025Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
453. ICML 2025Towards an Explainable Comparison and Alignment of Feature Embeddings
454. ICML 2025Towards Lifelong Model Editing via Simulating Ideal Editor
455. ICML 2025Towards Robustness and Explainability of Automatic Algorithm Selection
456. ICML 2025Towards the Causal Complete Cause of Multi-Modal Representation Learning
457. ICML 2025Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
458. ICML 2025Towards Understanding Parametric Generalized Category Discovery on Graphs
459. ICML 2025Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints
460. ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
461. ICML 2025Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
462. ICML 2025Unified K-Means Clustering with Label-Guided Manifold Learning
463. ICML 2025Universal Neural Optimal Transport
464. ICML 2025unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
465. ICML 2025Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
466. ICML 2025Unsupervised Learning for Class Distribution Mismatch
467. ICML 2025Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
468. ICML 2025Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
469. ICML 2025Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
470. ICML 2025Vision-Language Model Selection and Reuse for Downstream Adaptation
471. ICML 2025Volume Optimality in Conformal Prediction with Structured Prediction Sets
472. ICML 2025Volume-Aware Distance for Robust Similarity Learning
473. ICML 2025Wait-Less Offline Tuning and Re-solving for Online Decision Making
474. ICML 2025Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
475. ICML 2025Weakly-Supervised Contrastive Learning for Imprecise Class Labels
476. ICML 2025When Bad Data Leads to Good Models
477. ICML 2025When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
478. ICML 2025Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
479. ICML 2025Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer
480. NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
481. NeurIPS 2025A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data
482. NeurIPS 2025A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study
483. NeurIPS 2025A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity
484. NeurIPS 2025A Few Moments Please: Scalable Graphon Learning via Moment Matching
485. NeurIPS 2025A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging
486. NeurIPS 2025A$^3$E: Towards Compositional Model Editing
487. NeurIPS 2025Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
488. NeurIPS 2025Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory
489. NeurIPS 2025Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
490. NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
491. NeurIPS 2025AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
492. NeurIPS 2025AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
493. NeurIPS 2025Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
494. NeurIPS 2025Ascent Fails to Forget
495. NeurIPS 2025Asymptotic theory of SGD with a general learning-rate
496. NeurIPS 2025Attention-based clustering
497. NeurIPS 2025Autoencoding Random Forests
498. NeurIPS 2025Balancing Gradient and Hessian Queries in Non-Convex Optimization
499. NeurIPS 2025Balancing Performance and Costs in Best Arm Identification
500. NeurIPS 2025Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

共 2,683 篇，按年份分别是 2023 年 649 篇、2024 年 553 篇、2025 年 682 篇、2026 年 799 篇。

NeurIPS 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

NeurIPS 2026 有 194 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 203 篇。

ICLR 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

ICLR 2026 有 187 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 174 篇。

ICML 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

ICML 2026 有 348 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 239 篇。

CVPR 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

CVPR 2026 有 70 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 66 篇。

哪个会议的通用机器学习 · unsupervised and semisupervised learning论文最多？

ICML，2023–2026 年共 859 篇。