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

共 393 篇,第 8 / 8 页

  1. NeurIPS 2025OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization
  2. NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
  3. NeurIPS 2025Optimal Rates in Continual Linear Regression via Increasing Regularization
  4. NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
  5. NeurIPS 2025Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis
  6. NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
  7. NeurIPS 2025PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
  8. NeurIPS 2025PLD: A Choice-Theoretic List-Wise Knowledge Distillation
  9. NeurIPS 2025pLSTM: parallelizable Linear Source Transition Mark networks
  10. NeurIPS 2025Post Hoc Regression Refinement via Pairwise Rankings
  11. NeurIPS 2025Preference-Based Dynamic Ranking Structure Recognition
  12. NeurIPS 2025Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
  13. NeurIPS 2025Preference-Guided Diffusion for Multi-Objective Offline Optimization
  14. NeurIPS 2025PROFIT: A Specialized Optimizer for Deep Fine Tuning
  15. NeurIPS 2025Prompt Tuning Decision Transformers with Structured and Scalable Bandits
  16. NeurIPS 2025Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
  17. NeurIPS 2025Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
  18. NeurIPS 2025Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
  19. NeurIPS 2025RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
  20. NeurIPS 2025RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
  21. NeurIPS 2025RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
  22. NeurIPS 2025ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
  23. NeurIPS 2025RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
  24. NeurIPS 2025RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness
  25. NeurIPS 2025Scalable In-context Ranking with Generative Models
  26. NeurIPS 2025Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation
  27. NeurIPS 2025Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels
  28. NeurIPS 2025Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
  29. NeurIPS 2025SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
  30. NeurIPS 2025STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
  31. NeurIPS 2025Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
  32. NeurIPS 2025Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
  33. NeurIPS 2025The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets
  34. NeurIPS 2025Thompson Sampling for Multi-Objective Linear Contextual Bandit
  35. NeurIPS 2025Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement
  36. NeurIPS 2025Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling
  37. NeurIPS 2025Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
  38. NeurIPS 2025Transductive Conformal Inference for Full Ranking
  39. NeurIPS 2025TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
  40. NeurIPS 2025Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
  41. NeurIPS 2025Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
  42. NeurIPS 2025What Does It Take to Build a Performant Selective Classifier?
  43. NeurIPS 2025Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering

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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