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 12 / 29 页

  1. CVPR 2025PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
  2. CVPR 2025PDFactor: Learning Tri-Perspective View Policy Diffusion Field for Multi-Task Robotic Manipulation
  3. CVPR 2025PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos
  4. CVPR 2025Pippo: High-Resolution Multi-View Humans from a Single Image
  5. CVPR 2025ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
  6. CVPR 2025Resilient Sensor Fusion Under Adverse Sensor Failures via Multi-Modal Expert Fusion
  7. CVPR 2025ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence
  8. CVPR 2025SocialGesture: Delving into Multi-person Gesture Understanding
  9. CVPR 2025SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
  10. CVPR 2025TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning
  11. CVPR 2025Task Singular Vectors: Reducing Task Interference in Model Merging
  12. CVPR 2025Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
  13. CVPR 2025Task-driven Image Fusion with Learnable Fusion Loss
  14. CVPR 2025Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability
  15. CVPR 2025Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels
  16. CVPR 2025TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization
  17. CVPR 2025Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters
  18. CVPR 2025Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
  19. CVPR 2025Towards Universal Dataset Distillation via Task-Driven Diffusion
  20. CVPR 2025Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation
  21. CVPR 2025Understanding Multi-Task Activities from Single-Task Videos
  22. CVPR 2025VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks
  23. CVPR 2025WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
  24. CVPR 2025Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos
  25. ICLR 2025A Statistical Framework for Ranking LLM-based Chatbots
  26. ICLR 2025Accelerating Task Generalisation with Multi-Level Skill Hierarchies
  27. ICLR 2025Active Task Disambiguation with LLMs
  28. ICLR 2025Agent-Oriented Planning in Multi-Agent Systems
  29. ICLR 2025Balanced Ranking with Relative Centrality: A multi-core periphery perspective
  30. ICLR 2025BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
  31. ICLR 2025BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
  32. ICLR 2025CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
  33. ICLR 2025CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
  34. ICLR 2025ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
  35. ICLR 2025Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
  36. ICLR 2025CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations
  37. ICLR 2025DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
  38. ICLR 2025Denoising Task Difficulty-based Curriculum for Training Diffusion Models
  39. ICLR 2025DEPT: Decoupled Embeddings for Pre-training Language Models
  40. ICLR 2025Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
  41. ICLR 2025Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning
  42. ICLR 2025Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
  43. ICLR 2025EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents
  44. ICLR 2025Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
  45. ICLR 2025Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic
  46. ICLR 2025GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
  47. ICLR 2025HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
  48. ICLR 2025Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings
  49. ICLR 2025How to Find the Exact Pareto Front for Multi-Objective MDPs?
  50. ICLR 2025ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset

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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