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 24 / 29 页

  1. NeurIPS 2024Multi-language Diversity Benefits Autoformalization
  2. NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
  3. NeurIPS 2024MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
  4. NeurIPS 2024NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing
  5. NeurIPS 2024Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
  6. NeurIPS 2024Neural Persistence Dynamics
  7. NeurIPS 2024NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
  8. NeurIPS 2024Optimal Multi-Fidelity Best-Arm Identification
  9. NeurIPS 2024Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
  10. NeurIPS 2024PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
  11. NeurIPS 2024Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
  12. NeurIPS 2024Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
  13. NeurIPS 2024Pre-trained Large Language Models Use Fourier Features to Compute Addition
  14. NeurIPS 2024Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
  15. NeurIPS 2024Predicting Label Distribution from Ternary Labels
  16. NeurIPS 2024Preference Learning Algorithms Do Not Learn Preference Rankings
  17. NeurIPS 2024Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
  18. NeurIPS 2024RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
  19. NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
  20. NeurIPS 2024Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
  21. NeurIPS 2024Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
  22. NeurIPS 2024SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding
  23. NeurIPS 2024Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
  24. NeurIPS 2024Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
  25. NeurIPS 2024SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
  26. NeurIPS 2024Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
  27. NeurIPS 2024TaskBench: Benchmarking Large Language Models for Task Automation
  28. NeurIPS 2024Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
  29. NeurIPS 2024Towards Multi-Domain Learning for Generalizable Video Anomaly Detection
  30. NeurIPS 2024Towards Neuron Attributions in Multi-Modal Large Language Models
  31. NeurIPS 2024Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
  32. NeurIPS 2024TSDS: Data Selection for Task-Specific Model Finetuning
  33. NeurIPS 2024Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
  34. NeurIPS 2024Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
  35. NeurIPS 2024UniGAD: Unifying Multi-level Graph Anomaly Detection
  36. NeurIPS 2024Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
  37. NeurIPS 2024Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion
  38. NeurIPS 2024What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
  39. CVPR 2023A Light Touch Approach to Teaching Transformers Multi-View Geometry
  40. CVPR 2023Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo
  41. CVPR 2023AeDet: Azimuth-Invariant Multi-View 3D Object Detection
  42. CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
  43. CVPR 2023Batch Model Consolidation: A Multi-Task Model Consolidation Framework
  44. CVPR 2023Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation
  45. CVPR 2023Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
  46. CVPR 2023CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
  47. CVPR 2023Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries
  48. CVPR 2023CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending
  49. CVPR 2023Dealing With Cross-Task Class Discrimination in Online Continual Learning
  50. CVPR 2023Decentralized Learning With Multi-Headed Distillation

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