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 80 篇，第 1 / 2 页

1. ICML 2025A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
2. ICML 2025A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
3. ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
4. ICML 2025A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
5. ICML 2025A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
6. ICML 2025Active feature acquisition via explainability-driven ranking
7. ICML 2025Active Fine-Tuning of Multi-Task Policies
8. ICML 2025Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
9. ICML 2025Aligned Multi Objective Optimization
10. ICML 2025ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning
11. ICML 2025ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
12. ICML 2025BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
13. ICML 2025Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
14. ICML 2025Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning
15. ICML 2025Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
16. ICML 2025Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
17. ICML 2025Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
18. ICML 2025Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning
19. ICML 2025CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
20. ICML 2025CALM: Consensus-Aware Localized Merging for Multi-Task Learning
21. ICML 2025CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
22. ICML 2025Constrained Pareto Set Identification with Bandit Feedback
23. ICML 2025Deep Fuzzy Multi-view Learning for Reliable Classification
24. ICML 2025Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning
25. ICML 2025DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
26. ICML 2025Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
27. ICML 2025Enhancing Logits Distillation with Plug&Play Kendall's $\tau$ Ranking Loss
28. ICML 2025Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
29. ICML 2025Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
30. ICML 2025From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
31. ICML 2025Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
32. ICML 2025Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
33. ICML 2025How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
34. ICML 2025How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
35. ICML 2025Implicit degree bias in the link prediction task
36. ICML 2025Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint
37. ICML 2025Improving Your Model Ranking on Chatbot Arena by Vote Rigging
38. ICML 2025Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
39. ICML 2025Learning Cascade Ranking as One Network
40. ICML 2025Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification
41. ICML 2025Learning Configurations for Data-Driven Multi-Objective Optimization
42. ICML 2025Learning Fused State Representations for Control from Multi-View Observations
43. ICML 2025Learning With Multi-Group Guarantees For Clusterable Subpopulations
44. ICML 2025LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
45. ICML 2025Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
46. ICML 2025MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
47. ICML 2025Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
48. ICML 2025Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
49. ICML 2025MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
50. ICML 2025MoH: Multi-Head Attention as Mixture-of-Head Attention

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。