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 9 / 10 页

  1. NeurIPS 2024PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
  2. NeurIPS 2024Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
  3. NeurIPS 2024Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
  4. NeurIPS 2024Pre-trained Large Language Models Use Fourier Features to Compute Addition
  5. NeurIPS 2024Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
  6. NeurIPS 2024Predicting Label Distribution from Ternary Labels
  7. NeurIPS 2024Preference Learning Algorithms Do Not Learn Preference Rankings
  8. NeurIPS 2024Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
  9. NeurIPS 2024RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
  10. NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
  11. NeurIPS 2024Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
  12. NeurIPS 2024Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
  13. NeurIPS 2024SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding
  14. NeurIPS 2024Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
  15. NeurIPS 2024Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
  16. NeurIPS 2024SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
  17. NeurIPS 2024Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
  18. NeurIPS 2024TaskBench: Benchmarking Large Language Models for Task Automation
  19. NeurIPS 2024Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
  20. NeurIPS 2024Towards Multi-Domain Learning for Generalizable Video Anomaly Detection
  21. NeurIPS 2024Towards Neuron Attributions in Multi-Modal Large Language Models
  22. NeurIPS 2024Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
  23. NeurIPS 2024TSDS: Data Selection for Task-Specific Model Finetuning
  24. NeurIPS 2024Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
  25. NeurIPS 2024Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
  26. NeurIPS 2024UniGAD: Unifying Multi-level Graph Anomaly Detection
  27. NeurIPS 2024Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
  28. NeurIPS 2024Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion
  29. NeurIPS 2024What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
  30. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
  31. NeurIPS 2023A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
  32. NeurIPS 2023A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
  33. NeurIPS 2023AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
  34. NeurIPS 2023Active Bipartite Ranking
  35. NeurIPS 2023Active Learning for Semantic Segmentation with Multi-class Label Query
  36. NeurIPS 2023AIMS: All-Inclusive Multi-Level Segmentation for Anything
  37. NeurIPS 2023An active learning framework for multi-group mean estimation
  38. NeurIPS 2023Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
  39. NeurIPS 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
  40. NeurIPS 2023Bandit Task Assignment with Unknown Processing Time
  41. NeurIPS 2023BanditPAM++: Faster $k$-medoids Clustering
  42. NeurIPS 2023Bayesian Active Causal Discovery with Multi-Fidelity Experiments
  43. NeurIPS 2023CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations
  44. NeurIPS 2023Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
  45. NeurIPS 2023DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
  46. NeurIPS 2023Deep Momentum Multi-Marginal Schrödinger Bridge
  47. NeurIPS 2023Demystifying the Optimal Performance of Multi-Class Classification
  48. NeurIPS 2023Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
  49. NeurIPS 2023Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
  50. NeurIPS 2023Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits

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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