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 67 篇，第 1 / 2 页

1. ICML 2024A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
2. ICML 2024A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
3. ICML 2024Active Ranking and Matchmaking, with Perfect Matchings
4. ICML 2024Adversarial Attacks on Combinatorial Multi-Armed Bandits
5. ICML 2024Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
6. ICML 2024Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
7. ICML 2024Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
8. ICML 2024Better & Faster Large Language Models via Multi-token Prediction
9. ICML 2024BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
10. ICML 2024Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
11. ICML 2024Conformal Prediction for Deep Classifier via Label Ranking
12. ICML 2024Contrasting Multiple Representations with the Multi-Marginal Matching Gap
13. ICML 2024Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning
14. ICML 2024DMTG: One-Shot Differentiable Multi-Task Grouping
15. ICML 2024Efficient Pareto Manifold Learning with Low-Rank Structure
16. ICML 2024Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
17. ICML 2024Fair Resource Allocation in Multi-Task Learning
18. ICML 2024Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
19. ICML 2024Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
20. ICML 2024Floating Anchor Diffusion Model for Multi-motif Scaffolding
21. ICML 2024Generalization Analysis for Multi-Label Learning
22. ICML 2024Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
23. ICML 2024HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
24. ICML 2024HarmonyDream: Task Harmonization Inside World Models
25. ICML 2024How do Transformers Perform In-Context Autoregressive Learning ?
26. ICML 2024Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
27. ICML 2024Improving Transformers with Dynamically Composable Multi-Head Attention
28. ICML 2024Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
29. ICML 2024Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
30. ICML 2024Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
31. ICML 2024Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
32. ICML 2024MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
33. ICML 2024MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance
34. ICML 2024Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
35. ICML 2024Multi-group Learning for Hierarchical Groups
36. ICML 2024Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
37. ICML 2024Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning
38. ICML 2024Multi-Sender Persuasion: A Computational Perspective
39. ICML 2024Multi-Source Conformal Inference Under Distribution Shift
40. ICML 2024Multi-View Clustering by Inter-cluster Connectivity Guided Reward
41. ICML 2024Multi-View Stochastic Block Models
42. ICML 2024MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
43. ICML 2024Neural Collapse in Multi-label Learning with Pick-all-label Loss
44. ICML 2024Offline Multi-Objective Optimization
45. ICML 2024On Multi-Armed Bandit with Impatient Arms
46. ICML 2024On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
47. ICML 2024Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
48. ICML 2024Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
49. ICML 2024Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
50. ICML 2024Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks

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。