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 798 篇，第 13 / 16 页

601. ICML 2026What Language is This? Ask Your Tokenizer.
602. ICML 2026What Linear Probes Miss: Multi-View Probing for Weight-Space Learning
603. ICML 2026When Generalized Zero-Shot Learning Meets PU Learning: A Plug-and-Play Framework for Seen-Class Bias Mitigation
604. ICML 2026WorldComp2D: Spatio-semantic Representations of Object Identity and Location from Local Views
605. NeurIPS 2026$f$-GRPO & Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment
606. NeurIPS 2026A General Concept-based Decomposition for Vision–Language Embeddings
607. NeurIPS 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
608. NeurIPS 2026A mathematical theory of balancing relational generalization and memorization
609. NeurIPS 2026Algorithms for Linear Equations with Min and Max Operators Under (Absolutely) Halting Condition
610. NeurIPS 2026An Analytical Model of Compute-limited Multistage Training Pipelines
611. NeurIPS 2026Anchor PCA
612. NeurIPS 2026Approximation in Contrastive Representation Learning
613. NeurIPS 2026Asymmetric Generalization in Deep CTR Models: A Block-wise Diagnosis
614. NeurIPS 2026Attention-based PCA
615. NeurIPS 2026Attention-Based Pretraining for Unsupervised Amortized Causal Discovery
616. NeurIPS 2026Batched Stochastic Linear Bandits with 1-Bit Communication Constraints
617. NeurIPS 2026BDC-Merge: Cross-Architecture Model Merging via Dependency Alignment
618. NeurIPS 2026Bellman Contraction under MMD: A Unified Framework
619. NeurIPS 2026Beyond ICA: Identifiability by Symmetry Breaking
620. NeurIPS 2026Beyond IID: How General Are Tabular Foundation Models, Really?
621. NeurIPS 2026Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms
622. NeurIPS 2026Beyond Low-Pass Dynamics: Frequency-Selective Spiking Reservoirs with Resonant Neurons
623. NeurIPS 2026Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
624. NeurIPS 2026Beyond Unidirectional: Unsupervised Trajectory Learning for Omnidirectional Controllable Underwater Image Enhancement
625. NeurIPS 2026Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization
626. NeurIPS 2026Building Transformation Layers for Riemannian Neural Networks
627. NeurIPS 2026Causal Inference for Sequential Settings under Interference and Latent Confounding
628. NeurIPS 2026CHORD: Cross-Model Hallucination Detection via Relational Graph Discrimination
629. NeurIPS 2026Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples
630. NeurIPS 2026Claude Coke: Prevent Automated Crime by Agents
631. NeurIPS 2026Closed-Form Implicit Neural Representations
632. NeurIPS 2026Codebook-Guided Cross-Modal Knowledge Distillation for Structurally Heterogeneous Features
633. NeurIPS 2026Computing Thiele Rules on Interval Elections and their Generalizations
634. NeurIPS 2026Contrastive Nonmyopic Objective Cost-Tradeoff Acquisition for Longitudinal Data
635. NeurIPS 2026Conveyance: A Versatile Framework for Learning in Structured Class Spaces
636. NeurIPS 2026Cross-Architecture Transferability is Width-Confounded:Diagnosis and Subspace Correction
637. NeurIPS 2026CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
638. NeurIPS 2026D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces
639. NeurIPS 2026Data-Driven Covariate Selection for Nonparametric and Cycle-Agnostic Causal Effect Estimation
640. NeurIPS 2026Deadline-Constrained Dynamic Workflow Scheduling Can be Cast as a Representation Learning Problem
641. NeurIPS 2026Decoupling Label Shift and Surrogate Gradient Errors for Robust Federated Spiking Neural Networks
642. NeurIPS 2026Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality
643. NeurIPS 2026Deep Reasoning in General Purpose Agents via Structured Meta-Cognition
644. NeurIPS 2026Density-Ratio Losses for Post-Hoc Learning to Defer
645. NeurIPS 2026Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
646. NeurIPS 2026Distributional Estimation of 3D Object Orientation
647. NeurIPS 2026Do Sparse Autoencoders Learn Meaningful Concept Hierarchies?
648. NeurIPS 2026Drifting Fields are not Conservative
649. NeurIPS 2026DUIL: Deep Unsupervised Inverse Learning for in situ Macromolecular Morphology Identification
650. NeurIPS 2026Efficient Transferable Optimal Transport via Min-Sliced Transport Plans

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。