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 252 篇，第 4 / 6 页

  1. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
  2. ICML 2023Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
  3. ICML 2023Estimating Causal Effects using a Multi-task Deep Ensemble
  4. ICML 2023FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
  5. ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
  6. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
  7. ICML 2023Improved Active Multi-Task Representation Learning via Lasso
  8. ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
  9. ICML 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
  10. ICML 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning
  11. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
  12. ICML 2023MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
  13. ICML 2023Men Also Do Laundry: Multi-Attribute Bias Amplification
  14. ICML 2023Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
  15. ICML 2023Multi-Agent Best Arm Identification with Private Communications
  16. ICML 2023Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
  17. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
  18. ICML 2023Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
  19. ICML 2023Multi-Objective GFlowNets
  20. ICML 2023Multi-Objective Population Based Training
  21. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
  22. ICML 2023Multi-Task Differential Privacy Under Distribution Skew
  23. ICML 2023Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
  24. ICML 2023Multi-Task Off-Policy Learning from Bandit Feedback
  25. ICML 2023Multi-task Representation Learning for Pure Exploration in Linear Bandits
  26. ICML 2023Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
  27. ICML 2023On the Generalization of Multi-modal Contrastive Learning
  28. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
  29. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
  30. ICML 2023Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
  31. ICML 2023Pareto Regret Analyses in Multi-objective Multi-armed Bandit
  32. ICML 2023PCA-based Multi-Task Learning: a Random Matrix Approach
  33. ICML 2023Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
  34. ICML 2023Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
  35. ICML 2023Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
  36. ICML 2023Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
  37. ICML 2023Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
  38. ICML 2023Specializing Smaller Language Models towards Multi-Step Reasoning
  39. ICML 2023Statistical Inference on Multi-armed Bandits with Delayed Feedback
  40. ICML 2023Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
  41. ICML 2023Task-Specific Skill Localization in Fine-tuned Language Models
  42. ICML 2023Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis
  43. ICML 2023Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits
  44. ICML 2023Understanding the Complexity Gains of Single-Task RL with a Curriculum
  45. ICML 2023Unifying Molecular and Textual Representations via Multi-task Language Modelling
  46. ICML 2023Universal Morphology Control via Contextual Modulation
  47. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
  48. NeurIPS 2023A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
  49. NeurIPS 2023A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
  50. NeurIPS 2023AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks

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