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 553 篇，第 10 / 12 页

451. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
452. NeurIPS 2024Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
453. NeurIPS 2024Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features
454. NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
455. NeurIPS 2024Directional Smoothness and Gradient Methods: Convergence and Adaptivity
456. NeurIPS 2024Discovering plasticity rules that organize and maintain neural circuits
457. NeurIPS 2024Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
458. NeurIPS 2024Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
459. NeurIPS 2024Do's and Don'ts: Learning Desirable Skills with Instruction Videos
460. NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
461. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
462. NeurIPS 2024Expected Probabilistic Hierarchies
463. NeurIPS 2024Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
464. NeurIPS 2024FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
465. NeurIPS 2024Flatten Anything: Unsupervised Neural Surface Parameterization
466. NeurIPS 2024From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
467. NeurIPS 2024General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process
468. NeurIPS 2024General bounds on the quality of Bayesian coresets
469. NeurIPS 2024General Detection-based Text Line Recognition
470. NeurIPS 2024GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
471. NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
472. NeurIPS 2024GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
473. NeurIPS 2024Graph Edit Distance with General Costs Using Neural Set Divergence
474. NeurIPS 2024Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
475. NeurIPS 2024GTA: A Benchmark for General Tool Agents
476. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
477. NeurIPS 2024Identify Then Recommend: Towards Unsupervised Group Recommendation
478. NeurIPS 2024Identifying General Mechanism Shifts in Linear Causal Representations
479. NeurIPS 2024Identifying Selections for Unsupervised Subtask Discovery
480. NeurIPS 2024ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
481. NeurIPS 2024Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces
482. NeurIPS 2024Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
483. NeurIPS 2024IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
484. NeurIPS 2024Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
485. NeurIPS 2024InversionView: A General-Purpose Method for Reading Information from Neural Activations
486. NeurIPS 2024IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
487. NeurIPS 2024Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
488. NeurIPS 2024Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
489. NeurIPS 2024Latent Intrinsics Emerge from Training to Relight
490. NeurIPS 2024Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
491. NeurIPS 2024Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
492. NeurIPS 2024Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
493. NeurIPS 2024Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
494. NeurIPS 2024Learning Segmentation from Point Trajectories
495. NeurIPS 2024Learning to Embed Distributions via Maximum Kernel Entropy
496. NeurIPS 2024Learning Versatile Skills with Curriculum Masking
497. NeurIPS 2024Leveraging Separated World Model for Exploration in Visually Distracted Environments
498. NeurIPS 2024Linear Causal Bandits: Unknown Graph and Soft Interventions
499. NeurIPS 2024Logical characterizations of recurrent graph neural networks with reals and floats
500. NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

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。