多任务排序论文趋势 2023–2026

多目标排序

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,440 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

多任务排序论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202356585583252
20241103867100315
2025144758094393
202617579107119480

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

全部多任务排序论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,440 篇，第 22 / 29 页

  1. ICML 2024Multi-View Clustering by Inter-cluster Connectivity Guided Reward
  2. ICML 2024Multi-View Stochastic Block Models
  3. ICML 2024MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
  4. ICML 2024Neural Collapse in Multi-label Learning with Pick-all-label Loss
  5. ICML 2024Offline Multi-Objective Optimization
  6. ICML 2024On Multi-Armed Bandit with Impatient Arms
  7. ICML 2024On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
  8. ICML 2024Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
  9. ICML 2024Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
  10. ICML 2024Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
  11. ICML 2024Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
  12. ICML 2024Ranking-based Client Imitation Selection for Efficient Federated Learning
  13. ICML 2024Regression with Multi-Expert Deferral
  14. ICML 2024Representation Surgery for Multi-Task Model Merging
  15. ICML 2024Robust Multi-Task Learning with Excess Risks
  16. ICML 2024Sampling-based Multi-dimensional Recalibration
  17. ICML 2024Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
  18. ICML 2024Smooth Tchebycheff Scalarization for Multi-Objective Optimization
  19. ICML 2024Sparse-to-dense Multimodal Image Registration via Multi-Task Learning
  20. ICML 2024Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
  21. ICML 2024Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
  22. ICML 2024The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
  23. ICML 2024TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
  24. ICML 2024Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering
  25. ICML 2024Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
  26. ICML 2024Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
  27. ICML 2024Unbiased Multi-Label Learning from Crowdsourced Annotations
  28. ICML 2024WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
  29. NeurIPS 2024$C^2M^3$: Cycle-Consistent Multi-Model Merging
  30. NeurIPS 2024$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
  31. NeurIPS 2024A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
  32. NeurIPS 2024A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
  33. NeurIPS 2024A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking
  34. NeurIPS 2024A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
  35. NeurIPS 2024A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
  36. NeurIPS 2024Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
  37. NeurIPS 2024Adversarially Robust Multi-task Representation Learning
  38. NeurIPS 2024All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
  39. NeurIPS 2024Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
  40. NeurIPS 2024Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
  41. NeurIPS 2024AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
  42. NeurIPS 2024An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning
  43. NeurIPS 2024An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
  44. NeurIPS 2024Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
  45. NeurIPS 2024Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering
  46. NeurIPS 2024Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
  47. NeurIPS 2024BAKU: An Efficient Transformer for Multi-Task Policy Learning
  48. NeurIPS 2024Bandits with Abstention under Expert Advice
  49. NeurIPS 2024Bandits with Ranking Feedback
  50. NeurIPS 2024BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查多任务排序在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "multi-task-ranking"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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