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 8 / 14 页

351. ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
352. ICML 2025Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
353. ICML 2025KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
354. ICML 2025Label Distribution Propagation-based Label Completion for Crowdsourcing
355. ICML 2025Learning Changes in Graphon Attachment Network Models
356. ICML 2025Learning Distances from Data with Normalizing Flows and Score Matching
357. ICML 2025Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
358. ICML 2025Learning from Sample Stability for Deep Clustering
359. ICML 2025Learning Imbalanced Data with Beneficial Label Noise
360. ICML 2025Learning Optimal Multimodal Information Bottleneck Representations
361. ICML 2025Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
362. ICML 2025Learning Single Index Models with Diffusion Priors
363. ICML 2025Learning to Match Unpaired Data with Minimum Entropy Coupling
364. ICML 2025Learnware Specification via Dual Alignment
365. ICML 2025Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
366. ICML 2025LightGTS: A Lightweight General Time Series Forecasting Model
367. ICML 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
368. ICML 2025Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
369. ICML 2025Linear Contextual Bandits With Interference
370. ICML 2025Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
371. ICML 2025Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
372. ICML 2025LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
373. ICML 2025MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
374. ICML 2025Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
375. ICML 2025Mixed-curvature decision trees and random forests
376. ICML 2025Model Immunization from a Condition Number Perspective
377. ICML 2025Modified K-means Algorithm with Local Optimality Guarantees
378. ICML 2025Multivariate Conformal Selection
379. ICML 2025NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
380. ICML 2025Nested Expectations with Kernel Quadrature
381. ICML 2025Neurosymbolic World Models for Sequential Decision Making
382. ICML 2025No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
383. ICML 2025No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization
384. ICML 2025Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
385. ICML 2025Nonparametric Identification of Latent Concepts
386. ICML 2025On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
387. ICML 2025On Path to Multimodal Generalist: General-Level and General-Bench
388. ICML 2025On the Diversity of Adversarial Ensemble Learning
389. ICML 2025On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
390. ICML 2025On the Power of Learning-Augmented Search Trees
391. ICML 2025On Volume Minimization in Conformal Regression
392. ICML 2025One-Pass Feature Evolvable Learning with Theoretical Guarantees
393. ICML 2025Online Clustering of Dueling Bandits
394. ICML 2025Online Learning in the Random-Order Model
395. ICML 2025Optimal transport-based conformal prediction
396. ICML 2025Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
397. ICML 2025Permutation-Free High-Order Interaction Tests
398. ICML 2025Pfeife: Automatic Pipeline Parallelism for PyTorch
399. ICML 2025Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
400. ICML 2025Point-Level Topological Representation Learning on Point Clouds

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。