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 859 篇，第 14 / 18 页

651. ICML 2024On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity
652. ICML 2024Online Algorithms with Uncertainty-Quantified Predictions
653. ICML 2024Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
654. ICML 2024Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
655. ICML 2024Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
656. ICML 2024Post-hoc Part-Prototype Networks
657. ICML 2024Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
658. ICML 2024Provable Interactive Learning with Hindsight Instruction Feedback
659. ICML 2024Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
660. ICML 2024Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
661. ICML 2024Refining Minimax Regret for Unsupervised Environment Design
662. ICML 2024Reinforcement Learning and Regret Bounds for Admission Control
663. ICML 2024ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
664. ICML 2024Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas
665. ICML 2024Risk Estimation in a Markov Cost Process: Lower and Upper Bounds
666. ICML 2024Roping in Uncertainty: Robustness and Regularization in Markov Games
667. ICML 2024Second-Order Uncertainty Quantification: A Distance-Based Approach
668. ICML 2024Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
669. ICML 2024Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
670. ICML 2024Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
671. ICML 2024SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
672. ICML 2024Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
673. ICML 2024Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
674. ICML 2024Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
675. ICML 2024Switched Flow Matching: Eliminating Singularities via Switching ODEs
676. ICML 2024Switching the Loss Reduces the Cost in Batch Reinforcement Learning
677. ICML 2024Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
678. ICML 2024Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
679. ICML 2024Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos
680. ICML 2024The Balanced-Pairwise-Affinities Feature Transform
681. ICML 2024The Computational Complexity of Finding Second-Order Stationary Points
682. ICML 2024The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks
683. ICML 2024The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
684. ICML 2024Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
685. ICML 2024Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
686. ICML 2024Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
687. ICML 2024Transolver: A Fast Transformer Solver for PDEs on General Geometries
688. ICML 2024Transport of Algebraic Structure to Latent Embeddings
689. ICML 2024UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs
690. ICML 2024Uncertainty-Aware Reward-Free Exploration with General Function Approximation
691. ICML 2024Understanding MLP-Mixer as a wide and sparse MLP
692. ICML 2024Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes
693. ICML 2024Unsupervised Concept Discovery Mitigates Spurious Correlations
694. ICML 2024Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
695. ICML 2024Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
696. ICML 2024Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
697. ICML 2024Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
698. ICML 2024Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
699. ICML 2024UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
700. ICML 2024What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis

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。