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 315 篇，第 6 / 7 页

  1. NeurIPS 2024FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
  2. NeurIPS 2024Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
  3. NeurIPS 2024GO4Align: Group Optimization for Multi-Task Alignment
  4. NeurIPS 2024Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning
  5. NeurIPS 2024GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
  6. NeurIPS 2024HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
  7. NeurIPS 2024Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
  8. NeurIPS 2024Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
  9. NeurIPS 2024Improved learning rates in multi-unit uniform price auctions
  10. NeurIPS 2024Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse
  11. NeurIPS 2024Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline
  12. NeurIPS 2024Instruction Embedding: Latent Representations of Instructions Towards Task Identification
  13. NeurIPS 2024Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
  14. NeurIPS 2024Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
  15. NeurIPS 2024Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
  16. NeurIPS 2024LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss
  17. NeurIPS 2024Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
  18. NeurIPS 2024MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
  19. NeurIPS 2024MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
  20. NeurIPS 2024MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
  21. NeurIPS 2024MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
  22. NeurIPS 2024MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins
  23. NeurIPS 2024MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation
  24. NeurIPS 2024MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
  25. NeurIPS 2024MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
  26. NeurIPS 2024Multi-Instance Partial-Label Learning with Margin Adjustment
  27. NeurIPS 2024Multi-Label Learning with Stronger Consistency Guarantees
  28. NeurIPS 2024Multi-language Diversity Benefits Autoformalization
  29. NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
  30. NeurIPS 2024MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
  31. NeurIPS 2024NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing
  32. NeurIPS 2024Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
  33. NeurIPS 2024Neural Persistence Dynamics
  34. NeurIPS 2024NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
  35. NeurIPS 2024Optimal Multi-Fidelity Best-Arm Identification
  36. NeurIPS 2024Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
  37. NeurIPS 2024PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
  38. NeurIPS 2024Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
  39. NeurIPS 2024Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
  40. NeurIPS 2024Pre-trained Large Language Models Use Fourier Features to Compute Addition
  41. NeurIPS 2024Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
  42. NeurIPS 2024Predicting Label Distribution from Ternary Labels
  43. NeurIPS 2024Preference Learning Algorithms Do Not Learn Preference Rankings
  44. NeurIPS 2024Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
  45. NeurIPS 2024RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
  46. NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
  47. NeurIPS 2024Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
  48. NeurIPS 2024Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
  49. NeurIPS 2024SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding
  50. NeurIPS 2024Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting

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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