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 56 篇，第 1 / 2 页

1. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
2. NeurIPS 2023A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
3. NeurIPS 2023A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
4. NeurIPS 2023AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
5. NeurIPS 2023Active Bipartite Ranking
6. NeurIPS 2023Active Learning for Semantic Segmentation with Multi-class Label Query
7. NeurIPS 2023AIMS: All-Inclusive Multi-Level Segmentation for Anything
8. NeurIPS 2023An active learning framework for multi-group mean estimation
9. NeurIPS 2023Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
10. NeurIPS 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
11. NeurIPS 2023Bandit Task Assignment with Unknown Processing Time
12. NeurIPS 2023BanditPAM++: Faster $k$-medoids Clustering
13. NeurIPS 2023Bayesian Active Causal Discovery with Multi-Fidelity Experiments
14. NeurIPS 2023CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations
15. NeurIPS 2023Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
16. NeurIPS 2023DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
17. NeurIPS 2023Deep Momentum Multi-Marginal Schrödinger Bridge
18. NeurIPS 2023Demystifying the Optimal Performance of Multi-Class Classification
19. NeurIPS 2023Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
20. NeurIPS 2023Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
21. NeurIPS 2023Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
22. NeurIPS 2023Federated Multi-Objective Learning
23. NeurIPS 2023Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
24. NeurIPS 2023Finite-Time Logarithmic Bayes Regret Upper Bounds
25. NeurIPS 2023ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
26. NeurIPS 2023Generalized test utilities for long-tail performance in extreme multi-label classification
27. NeurIPS 2023Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning
28. NeurIPS 2023ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
29. NeurIPS 2023Learning List-Level Domain-Invariant Representations for Ranking
30. NeurIPS 2023Learning Shared Safety Constraints from Multi-task Demonstrations
31. NeurIPS 2023M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark
32. NeurIPS 2023Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
33. NeurIPS 2023Meta-Learning Adversarial Bandit Algorithms
34. NeurIPS 2023Multi-Fidelity Multi-Armed Bandits Revisited
35. NeurIPS 2023Multi-Head Adapter Routing for Cross-Task Generalization
36. NeurIPS 2023Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems
37. NeurIPS 2023Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
38. NeurIPS 2023Multi-scale Diffusion Denoised Smoothing
39. NeurIPS 2023Multi-Swap k-Means++
40. NeurIPS 2023Multi-task learning with summary statistics
41. NeurIPS 2023Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
42. NeurIPS 2023NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
43. NeurIPS 2023Optimistic Rates for Multi-Task Representation Learning
44. NeurIPS 2023Orthogonal Non-negative Tensor Factorization based Multi-view Clustering
45. NeurIPS 2023RD-Suite: A Benchmark for Ranking Distillation
46. NeurIPS 2023Real-World Image Super-Resolution as Multi-Task Learning
47. NeurIPS 2023Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
48. NeurIPS 2023Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
49. NeurIPS 2023Sample-efficient Multi-objective Molecular Optimization with GFlowNets
50. NeurIPS 2023Scientific Document Retrieval using Multi-level Aspect-based Queries

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。