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 26 / 29 页

  1. CVPR 2023POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo
  2. CVPR 2023Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks
  3. CVPR 2023Quantum Multi-Model Fitting
  4. CVPR 2023Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
  5. CVPR 2023Referring Multi-Object Tracking
  6. CVPR 2023ResFormer: Scaling ViTs With Multi-Resolution Training
  7. CVPR 2023RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
  8. CVPR 2023Semi-Supervised Learning Made Simple With Self-Supervised Clustering
  9. CVPR 2023Simple Cues Lead to a Strong Multi-Object Tracker
  10. CVPR 2023Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks
  11. CVPR 2023Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images
  12. CVPR 2023Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
  13. CVPR 2023TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition
  14. CVPR 2023Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information
  15. CVPR 2023Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View
  16. CVPR 2023Towards Flexible Multi-Modal Document Models
  17. CVPR 2023Two-Way Multi-Label Loss
  18. CVPR 2023Viewpoint Equivariance for Multi-View 3D Object Detection
  19. CVPR 2023Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
  20. CVPR 2023VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction
  21. CVPR 2023Why Is the Winner the Best?
  22. ICLR 2023A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
  23. ICLR 2023Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
  24. ICLR 2023An Additive Instance-Wise Approach to Multi-class Model Interpretation
  25. ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
  26. ICLR 2023Asynchronous Gradient Play in Zero-Sum Multi-agent Games
  27. ICLR 2023Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
  28. ICLR 2023Collaborative Pure Exploration in Kernel Bandit
  29. ICLR 2023Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
  30. ICLR 2023Compositional Task Representations for Large Language Models
  31. ICLR 2023DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
  32. ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
  33. ICLR 2023Editing models with task arithmetic
  34. ICLR 2023Efficiently Controlling Multiple Risks with Pareto Testing
  35. ICLR 2023Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
  36. ICLR 2023EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
  37. ICLR 2023Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
  38. ICLR 2023f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
  39. ICLR 2023Fast Nonlinear Vector Quantile Regression
  40. ICLR 2023Gradient Gating for Deep Multi-Rate Learning on Graphs
  41. ICLR 2023GReTo: Remedying dynamic graph topology-task discordance via target homophily
  42. ICLR 2023HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
  43. ICLR 2023How to prepare your task head for finetuning
  44. ICLR 2023HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
  45. ICLR 2023Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
  46. ICLR 2023Learning multi-scale local conditional probability models of images
  47. ICLR 2023Learning Proximal Operators to Discover Multiple Optima
  48. ICLR 2023Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
  49. ICLR 2023Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
  50. ICLR 2023Monocular Scene Reconstruction with 3D SDF Transformers

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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