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 15 / 29 页

  1. ICML 2025Multi-Objective Causal Bayesian Optimization
  2. ICML 2025Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
  3. ICML 2025Multi-Session Budget Optimization for Forward Auction-based Federated Learning
  4. ICML 2025Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
  5. ICML 2025Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
  6. ICML 2025No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
  7. ICML 2025Optimal Task Order for Continual Learning of Multiple Tasks
  8. ICML 2025Optimizing Temperature for Language Models with Multi-Sample Inference
  9. ICML 2025Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
  10. ICML 2025Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes
  11. ICML 2025Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
  12. ICML 2025Pareto-frontier Entropy Search with Variational Lower Bound Maximization
  13. ICML 2025PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
  14. ICML 2025PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
  15. ICML 2025Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
  16. ICML 2025PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
  17. ICML 2025Provable In-Context Vector Arithmetic via Retrieving Task Concepts
  18. ICML 2025Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity
  19. ICML 2025Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering
  20. ICML 2025S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking
  21. ICML 2025SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
  22. ICML 2025Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
  23. ICML 2025Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?
  24. ICML 2025Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion
  25. ICML 2025Tuning LLM Judge Design Decisions for 1/1000 of the Cost
  26. ICML 2025Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods
  27. ICML 2025Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
  28. ICML 2025When can in-context learning generalize out of task distribution?
  29. ICML 2025Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
  30. NeurIPS 2025A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
  31. NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
  32. NeurIPS 2025A machine learning approach that beats Rubik's cubes
  33. NeurIPS 2025A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
  34. NeurIPS 2025A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
  35. NeurIPS 2025AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
  36. NeurIPS 2025Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
  37. NeurIPS 2025Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
  38. NeurIPS 2025AGI-Elo: How Far Are We From Mastering A Task?
  39. NeurIPS 2025Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
  40. NeurIPS 2025AutoData: A Multi-Agent System for Open Web Data Collection
  41. NeurIPS 2025Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
  42. NeurIPS 2025Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
  43. NeurIPS 2025BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
  44. NeurIPS 2025Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
  45. NeurIPS 2025Can Class-Priors Help Single-Positive Multi-Label Learning?
  46. NeurIPS 2025Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
  47. NeurIPS 2025Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
  48. NeurIPS 2025COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
  49. NeurIPS 2025ComRank: Ranking Loss for Multi-Label Complementary Label Learning
  50. NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed 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。

「推荐与广告」下的其他主题