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 110 篇，第 1 / 3 页

1. NeurIPS 2024$C^2M^3$: Cycle-Consistent Multi-Model Merging
2. NeurIPS 2024$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
3. NeurIPS 2024A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
4. NeurIPS 2024A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
5. NeurIPS 2024A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking
6. NeurIPS 2024A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
7. NeurIPS 2024A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
8. NeurIPS 2024Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
9. NeurIPS 2024Adversarially Robust Multi-task Representation Learning
10. NeurIPS 2024All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
11. NeurIPS 2024Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
12. NeurIPS 2024Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
13. NeurIPS 2024AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
14. NeurIPS 2024An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning
15. NeurIPS 2024An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
16. NeurIPS 2024Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
17. NeurIPS 2024Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering
18. NeurIPS 2024Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
19. NeurIPS 2024BAKU: An Efficient Transformer for Multi-Task Policy Learning
20. NeurIPS 2024Bandits with Abstention under Expert Advice
21. NeurIPS 2024Bandits with Ranking Feedback
22. NeurIPS 2024BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
23. NeurIPS 2024Beyond task diversity: provable representation transfer for sequential multitask linear bandits
24. NeurIPS 2024BitDelta: Your Fine-Tune May Only Be Worth One Bit
25. NeurIPS 2024Boundary Decomposition for Nadir Objective Vector Estimation
26. NeurIPS 2024Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
27. NeurIPS 2024ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
28. NeurIPS 2024CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
29. NeurIPS 2024CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
30. NeurIPS 2024CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
31. NeurIPS 2024Contrastive losses as generalized models of global epistasis
32. NeurIPS 2024D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup
33. NeurIPS 2024Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization
34. NeurIPS 2024Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
35. NeurIPS 2024Derandomizing Multi-Distribution Learning
36. NeurIPS 2024DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
37. NeurIPS 2024DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
38. NeurIPS 2024Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
39. NeurIPS 2024Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
40. NeurIPS 2024Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
41. NeurIPS 2024Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
42. NeurIPS 2024EMR-Merging: Tuning-Free High-Performance Model Merging
43. NeurIPS 2024Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering
44. NeurIPS 2024Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
45. NeurIPS 2024Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
46. NeurIPS 2024FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
47. NeurIPS 2024Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
48. NeurIPS 2024GO4Align: Group Optimization for Multi-Task Alignment
49. NeurIPS 2024Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning
50. NeurIPS 2024GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks

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。