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 485 篇，第 7 / 10 页

  1. NeurIPS 2025Scalable In-context Ranking with Generative Models
  2. NeurIPS 2025Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation
  3. NeurIPS 2025Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels
  4. NeurIPS 2025Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
  5. NeurIPS 2025SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
  6. NeurIPS 2025STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
  7. NeurIPS 2025Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
  8. NeurIPS 2025Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
  9. NeurIPS 2025The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets
  10. NeurIPS 2025Thompson Sampling for Multi-Objective Linear Contextual Bandit
  11. NeurIPS 2025Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement
  12. NeurIPS 2025Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling
  13. NeurIPS 2025Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
  14. NeurIPS 2025Transductive Conformal Inference for Full Ranking
  15. NeurIPS 2025TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
  16. NeurIPS 2025Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
  17. NeurIPS 2025Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
  18. NeurIPS 2025What Does It Take to Build a Performant Selective Classifier?
  19. NeurIPS 2025Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering
  20. NeurIPS 2024$C^2M^3$: Cycle-Consistent Multi-Model Merging
  21. NeurIPS 2024$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
  22. NeurIPS 2024A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
  23. NeurIPS 2024A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
  24. NeurIPS 2024A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking
  25. NeurIPS 2024A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
  26. NeurIPS 2024A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
  27. NeurIPS 2024Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
  28. NeurIPS 2024Adversarially Robust Multi-task Representation Learning
  29. NeurIPS 2024All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
  30. NeurIPS 2024Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
  31. NeurIPS 2024Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
  32. NeurIPS 2024AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
  33. NeurIPS 2024An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning
  34. NeurIPS 2024An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
  35. NeurIPS 2024Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
  36. NeurIPS 2024Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering
  37. NeurIPS 2024Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
  38. NeurIPS 2024BAKU: An Efficient Transformer for Multi-Task Policy Learning
  39. NeurIPS 2024Bandits with Abstention under Expert Advice
  40. NeurIPS 2024Bandits with Ranking Feedback
  41. NeurIPS 2024BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
  42. NeurIPS 2024Beyond task diversity: provable representation transfer for sequential multitask linear bandits
  43. NeurIPS 2024BitDelta: Your Fine-Tune May Only Be Worth One Bit
  44. NeurIPS 2024Boundary Decomposition for Nadir Objective Vector Estimation
  45. NeurIPS 2024Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
  46. NeurIPS 2024ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
  47. NeurIPS 2024CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
  48. NeurIPS 2024CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
  49. NeurIPS 2024CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
  50. NeurIPS 2024Contrastive losses as generalized models of global epistasis

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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