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 38 篇，第 1 / 1 页

1. ICLR 2024A Multi-Level Framework for Accelerating Training Transformer Models
2. ICLR 2024A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
3. ICLR 2024AdaMerging: Adaptive Model Merging for Multi-Task Learning
4. ICLR 2024Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
5. ICLR 2024Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
6. ICLR 2024Class Incremental Learning via Likelihood Ratio Based Task Prediction
7. ICLR 2024Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
8. ICLR 2024Consistent algorithms for multi-label classification with macro-at-$k$ metrics
9. ICLR 2024Controlling Vision-Language Models for Multi-Task Image Restoration
10. ICLR 2024Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
11. ICLR 2024Denoising Task Routing for Diffusion Models
12. ICLR 2024Diffusion Models for Multi-Task Generative Modeling
13. ICLR 2024DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
14. ICLR 2024Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
15. ICLR 2024From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
16. ICLR 2024GenSim: Generating Robotic Simulation Tasks via Large Language Models
17. ICLR 2024Hybrid Sharing for Multi-Label Image Classification
18. ICLR 2024InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
19. ICLR 2024Interpretable Meta-Learning of Physical Systems
20. ICLR 2024Memorization Capacity of Multi-Head Attention in Transformers
21. ICLR 2024MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
22. ICLR 2024MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
23. ICLR 2024MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
24. ICLR 2024Multi-task Learning with 3D-Aware Regularization
25. ICLR 2024MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
26. ICLR 2024Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
27. ICLR 2024On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning
28. ICLR 2024Order-Preserving GFlowNets
29. ICLR 2024Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
30. ICLR 2024Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
31. ICLR 2024Robot Fleet Learning via Policy Merging
32. ICLR 2024Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
33. ICLR 2024Select to Perfect: Imitating desired behavior from large multi-agent data
34. ICLR 2024Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
35. ICLR 2024Tailoring Self-Rationalizers with Multi-Reward Distillation
36. ICLR 2024Topic Modeling as Multi-Objective Contrastive Optimization
37. ICLR 2024Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
38. ICLR 2024Training-free Multi-objective Diffusion Model for 3D Molecule Generation

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。