多任务排序论文趋势 2023–2026

主要结论

• 多任务排序论文从 2023 年的 252 篇增长到 2026 年的 480 篇，三年间扩大到约 1.9 倍。
• NeurIPS 是发多任务排序论文最多的会议，2023–2026 年共 485 篇，占四个会议总量的 34%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 8 篇增至 2026 年的 52 篇。
• 在「推荐与广告」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的点击率预测是 2.6 倍，多任务排序是 1.9 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 Mahalanobis Margin \texorpdfstring{$\gamma_{\min}$}{gamma\_min} Bound on Task Confusion in Pretrained Class-Incremental Learning: From Infeasibility to Exponential Attenuation
• ICML 2026Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
• ICLR 2026Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?
• CVPR 2026A Supervised Multi-task Framework for Joint cryo-ET Restoration Enabled by
• NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
• ICML 2025ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
• ICLR 2025Balanced Ranking with Relative Centrality: A multi-core periphery perspective
• CVPR 2025ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling
• NeurIPS 2024CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
• ICML 2024Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
• ICLR 2024Order-Preserving GFlowNets
• CVPR 2024Domain Separation Graph Neural Networks for Saliency Object Ranking
• NeurIPS 2023AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
• ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
• ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
• CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
• NeurIPS 2026A Scalable Multi-Task Model for Virtual Sensors
• ICML 2026Alleviating Observation Bias via Causal-Invariant Meta-Learning for Unbalanced Incomplete Multi-view Clustering
• ICLR 2026Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
• CVPR 2026Block-Sparse Global Attention for Efficient Multi-View Geometry Transformers

全部多任务排序论文

共 55 篇，第 1 / 2 页

1. ICML 2023A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
2. ICML 2023Active Ranking of Experts Based on their Performances in Many Tasks
3. ICML 2023Auxiliary Learning as an Asymmetric Bargaining Game
4. ICML 2023Best Arm Identification in Multi-Agent Multi-Armed Bandits
5. ICML 2023Cluster-Specific Predictions with Multi-Task Gaussian Processes
6. ICML 2023CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
7. ICML 2023Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
8. ICML 2023Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
9. ICML 2023Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
10. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
11. ICML 2023Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
12. ICML 2023Estimating Causal Effects using a Multi-task Deep Ensemble
13. ICML 2023FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
14. ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
15. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
16. ICML 2023Improved Active Multi-Task Representation Learning via Lasso
17. ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
18. ICML 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
19. ICML 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning
20. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
21. ICML 2023MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
22. ICML 2023Men Also Do Laundry: Multi-Attribute Bias Amplification
23. ICML 2023Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
24. ICML 2023Multi-Agent Best Arm Identification with Private Communications
25. ICML 2023Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
26. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
27. ICML 2023Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
28. ICML 2023Multi-Objective GFlowNets
29. ICML 2023Multi-Objective Population Based Training
30. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
31. ICML 2023Multi-Task Differential Privacy Under Distribution Skew
32. ICML 2023Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
33. ICML 2023Multi-Task Off-Policy Learning from Bandit Feedback
34. ICML 2023Multi-task Representation Learning for Pure Exploration in Linear Bandits
35. ICML 2023Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
36. ICML 2023On the Generalization of Multi-modal Contrastive Learning
37. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
38. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
39. ICML 2023Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
40. ICML 2023Pareto Regret Analyses in Multi-objective Multi-armed Bandit
41. ICML 2023PCA-based Multi-Task Learning: a Random Matrix Approach
42. ICML 2023Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
43. ICML 2023Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
44. ICML 2023Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
45. ICML 2023Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
46. ICML 2023Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
47. ICML 2023Specializing Smaller Language Models towards Multi-Step Reasoning
48. ICML 2023Statistical Inference on Multi-armed Bandits with Delayed Feedback
49. ICML 2023Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
50. ICML 2023Task-Specific Skill Localization in Fine-tuned Language Models

常见问题

2023–2026 年四大会议一共有多少篇多任务排序论文？

共 1,440 篇，按年份分别是 2023 年 252 篇、2024 年 315 篇、2025 年 393 篇、2026 年 480 篇。

NeurIPS 2026 有多少篇多任务排序论文？

NeurIPS 2026 有 175 篇多任务排序论文，上一届是 144 篇。

ICLR 2026 有多少篇多任务排序论文？

ICLR 2026 有 79 篇多任务排序论文，上一届是 75 篇。

ICML 2026 有多少篇多任务排序论文？

ICML 2026 有 107 篇多任务排序论文，上一届是 80 篇。

CVPR 2026 有多少篇多任务排序论文？

CVPR 2026 有 119 篇多任务排序论文，上一届是 94 篇。

哪个会议的多任务排序论文最多？

NeurIPS，2023–2026 年共 485 篇。