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 309 篇，第 6 / 7 页

  1. ICML 2024Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
  2. ICML 2024Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
  3. ICML 2024Unbiased Multi-Label Learning from Crowdsourced Annotations
  4. ICML 2024WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
  5. ICML 2023A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
  6. ICML 2023Active Ranking of Experts Based on their Performances in Many Tasks
  7. ICML 2023Auxiliary Learning as an Asymmetric Bargaining Game
  8. ICML 2023Best Arm Identification in Multi-Agent Multi-Armed Bandits
  9. ICML 2023Cluster-Specific Predictions with Multi-Task Gaussian Processes
  10. ICML 2023CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
  11. ICML 2023Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
  12. ICML 2023Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
  13. ICML 2023Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
  14. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
  15. ICML 2023Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
  16. ICML 2023Estimating Causal Effects using a Multi-task Deep Ensemble
  17. ICML 2023FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
  18. ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
  19. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
  20. ICML 2023Improved Active Multi-Task Representation Learning via Lasso
  21. ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
  22. ICML 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
  23. ICML 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning
  24. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
  25. ICML 2023MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
  26. ICML 2023Men Also Do Laundry: Multi-Attribute Bias Amplification
  27. ICML 2023Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
  28. ICML 2023Multi-Agent Best Arm Identification with Private Communications
  29. ICML 2023Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
  30. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
  31. ICML 2023Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
  32. ICML 2023Multi-Objective GFlowNets
  33. ICML 2023Multi-Objective Population Based Training
  34. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
  35. ICML 2023Multi-Task Differential Privacy Under Distribution Skew
  36. ICML 2023Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
  37. ICML 2023Multi-Task Off-Policy Learning from Bandit Feedback
  38. ICML 2023Multi-task Representation Learning for Pure Exploration in Linear Bandits
  39. ICML 2023Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
  40. ICML 2023On the Generalization of Multi-modal Contrastive Learning
  41. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
  42. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
  43. ICML 2023Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
  44. ICML 2023Pareto Regret Analyses in Multi-objective Multi-armed Bandit
  45. ICML 2023PCA-based Multi-Task Learning: a Random Matrix Approach
  46. ICML 2023Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
  47. ICML 2023Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
  48. ICML 2023Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
  49. ICML 2023Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
  50. ICML 2023Robust Camera Pose Refinement for Multi-Resolution Hash Encoding

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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