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 28 / 29 页

  1. ICML 2023Men Also Do Laundry: Multi-Attribute Bias Amplification
  2. ICML 2023Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
  3. ICML 2023Multi-Agent Best Arm Identification with Private Communications
  4. ICML 2023Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
  5. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
  6. ICML 2023Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
  7. ICML 2023Multi-Objective GFlowNets
  8. ICML 2023Multi-Objective Population Based Training
  9. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
  10. ICML 2023Multi-Task Differential Privacy Under Distribution Skew
  11. ICML 2023Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
  12. ICML 2023Multi-Task Off-Policy Learning from Bandit Feedback
  13. ICML 2023Multi-task Representation Learning for Pure Exploration in Linear Bandits
  14. ICML 2023Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
  15. ICML 2023On the Generalization of Multi-modal Contrastive Learning
  16. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
  17. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
  18. ICML 2023Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
  19. ICML 2023Pareto Regret Analyses in Multi-objective Multi-armed Bandit
  20. ICML 2023PCA-based Multi-Task Learning: a Random Matrix Approach
  21. ICML 2023Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
  22. ICML 2023Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
  23. ICML 2023Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
  24. ICML 2023Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
  25. ICML 2023Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
  26. ICML 2023Specializing Smaller Language Models towards Multi-Step Reasoning
  27. ICML 2023Statistical Inference on Multi-armed Bandits with Delayed Feedback
  28. ICML 2023Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
  29. ICML 2023Task-Specific Skill Localization in Fine-tuned Language Models
  30. ICML 2023Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis
  31. ICML 2023Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits
  32. ICML 2023Understanding the Complexity Gains of Single-Task RL with a Curriculum
  33. ICML 2023Unifying Molecular and Textual Representations via Multi-task Language Modelling
  34. ICML 2023Universal Morphology Control via Contextual Modulation
  35. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
  36. NeurIPS 2023A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
  37. NeurIPS 2023A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
  38. NeurIPS 2023AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
  39. NeurIPS 2023Active Bipartite Ranking
  40. NeurIPS 2023Active Learning for Semantic Segmentation with Multi-class Label Query
  41. NeurIPS 2023AIMS: All-Inclusive Multi-Level Segmentation for Anything
  42. NeurIPS 2023An active learning framework for multi-group mean estimation
  43. NeurIPS 2023Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
  44. NeurIPS 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
  45. NeurIPS 2023Bandit Task Assignment with Unknown Processing Time
  46. NeurIPS 2023BanditPAM++: Faster $k$-medoids Clustering
  47. NeurIPS 2023Bayesian Active Causal Discovery with Multi-Fidelity Experiments
  48. NeurIPS 2023CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations
  49. NeurIPS 2023Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
  50. NeurIPS 2023DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model

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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