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 41 / 54 页

2001. NeurIPS 2024Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
2002. NeurIPS 2024REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
2003. NeurIPS 2024Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity
2004. NeurIPS 2024Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
2005. NeurIPS 2024Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
2006. NeurIPS 2024RMLR: Extending Multinomial Logistic Regression into General Geometries
2007. NeurIPS 2024Robust group and simultaneous inferences for high-dimensional single index model
2008. NeurIPS 2024Robust Reinforcement Learning with General Utility
2009. NeurIPS 2024Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage
2010. NeurIPS 2024Sample-Efficient Constrained Reinforcement Learning with General Parameterization
2011. NeurIPS 2024Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
2012. NeurIPS 2024Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
2013. NeurIPS 2024Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
2014. NeurIPS 2024Simplified and Generalized Masked Diffusion for Discrete Data
2015. NeurIPS 2024SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
2016. NeurIPS 2024Small coresets via negative dependence: DPPs, linear statistics, and concentration
2017. NeurIPS 2024Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
2018. NeurIPS 2024Symmetries in Overparametrized Neural Networks: A Mean Field View
2019. NeurIPS 2024The Mamba in the Llama: Distilling and Accelerating Hybrid Models
2020. NeurIPS 2024The Star Geometry of Critic-Based Regularizer Learning
2021. NeurIPS 2024Time-Reversal Provides Unsupervised Feedback to LLMs
2022. NeurIPS 2024Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model
2023. NeurIPS 2024Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation
2024. NeurIPS 2024Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
2025. NeurIPS 2024Towards Unsupervised Model Selection for Domain Adaptive Object Detection
2026. NeurIPS 2024Transformers Represent Belief State Geometry in their Residual Stream
2027. NeurIPS 2024UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes
2028. NeurIPS 2024Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need?
2029. NeurIPS 2024Unsupervised Anomaly Detection in The Presence of Missing Values
2030. NeurIPS 2024Unsupervised Discovery of Formulas for Mathematical Constants
2031. NeurIPS 2024Unsupervised Object Detection with Theoretical Guarantees
2032. NeurIPS 2024Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients
2033. NeurIPS 2024When is an Embedding Model More Promising than Another?
2034. CVPR 20232PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
2035. CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
2036. CVPR 2023ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
2037. CVPR 2023Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition
2038. CVPR 2023AltFreezing for More General Video Face Forgery Detection
2039. CVPR 2023ARO-Net: Learning Implicit Fields From Anchored Radial Observations
2040. CVPR 2023Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt
2041. CVPR 2023Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping
2042. CVPR 2023Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
2043. CVPR 2023BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
2044. CVPR 2023Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation
2045. CVPR 2023COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport
2046. CVPR 2023Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models
2047. CVPR 2023CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
2048. CVPR 2023CUF: Continuous Upsampling Filters
2049. CVPR 2023Cut and Learn for Unsupervised Object Detection and Instance Segmentation
2050. CVPR 2023DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices

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。