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 2,682 篇，第 51 / 54 页

2501. NeurIPS 2023HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection
2502. NeurIPS 2023Human-Aligned Calibration for AI-Assisted Decision Making
2503. NeurIPS 2023ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
2504. NeurIPS 2023Implicit Regularization in Over-Parameterized Support Vector Machine
2505. NeurIPS 2023Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
2506. NeurIPS 2023Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms
2507. NeurIPS 2023Improved Frequency Estimation Algorithms with and without Predictions
2508. NeurIPS 2023In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
2509. NeurIPS 2023Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization
2510. NeurIPS 2023Incentives in Private Collaborative Machine Learning
2511. NeurIPS 2023Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
2512. NeurIPS 2023Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills
2513. NeurIPS 2023InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
2514. NeurIPS 2023InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
2515. NeurIPS 2023Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction
2516. NeurIPS 2023Invariant Learning via Probability of Sufficient and Necessary Causes
2517. NeurIPS 2023Inverse Reinforcement Learning with the Average Reward Criterion
2518. NeurIPS 2023Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning
2519. NeurIPS 2023Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
2520. NeurIPS 2023Kernelized Cumulants: Beyond Kernel Mean Embeddings
2521. NeurIPS 2023KuaiSim: A Comprehensive Simulator for Recommender Systems
2522. NeurIPS 2023Learning and Collusion in Multi-unit Auctions
2523. NeurIPS 2023Learning and processing the ordinal information of temporal sequences in recurrent neural circuits
2524. NeurIPS 2023Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation
2525. NeurIPS 2023Learning Exponential Families from Truncated Samples
2526. NeurIPS 2023Learning From Biased Soft Labels
2527. NeurIPS 2023Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
2528. NeurIPS 2023Learning Motion Refinement for Unsupervised Face Animation
2529. NeurIPS 2023Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
2530. NeurIPS 2023Learning to Configure Separators in Branch-and-Cut
2531. NeurIPS 2023Learning to Discover Skills through Guidance
2532. NeurIPS 2023Learning Universal Policies via Text-Guided Video Generation
2533. NeurIPS 2023Leveraging sparse and shared feature activations for disentangled representation learning
2534. NeurIPS 2023List and Certificate Complexities in Replicable Learning
2535. NeurIPS 2023Lo-Hi: Practical ML Drug Discovery Benchmark
2536. NeurIPS 2023Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
2537. NeurIPS 2023Lovász Principle for Unsupervised Graph Representation Learning
2538. NeurIPS 2023M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery
2539. NeurIPS 2023Machine learning detects terminal singularities
2540. NeurIPS 2023Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
2541. NeurIPS 2023Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration
2542. NeurIPS 2023Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits
2543. NeurIPS 2023Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
2544. NeurIPS 2023Metis: Understanding and Enhancing In-Network Regular Expressions
2545. NeurIPS 2023Minimum Description Length and Generalization Guarantees for Representation Learning
2546. NeurIPS 2023Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
2547. NeurIPS 2023MLFMF: Data Sets for Machine Learning for Mathematical Formalization
2548. NeurIPS 2023MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
2549. NeurIPS 2023MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability
2550. NeurIPS 2023Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM

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。