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 393 篇，第 4 / 8 页

  1. ICLR 2025ParetoFlow: Guided Flows in Multi-Objective Optimization
  2. ICLR 2025Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
  3. ICLR 2025QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
  4. ICLR 2025Redefining the task of Bioactivity Prediction
  5. ICLR 2025Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
  6. ICLR 2025Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
  7. ICLR 2025Selective Task Group Updates for Multi-Task Optimization
  8. ICLR 2025STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
  9. ICLR 2025Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
  10. ICLR 2025Task Descriptors Help Transformers Learn Linear Models In-Context
  11. ICLR 2025Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
  12. ICLR 2025TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types
  13. ICLR 2025Tool-Planner: Task Planning with Clusters across Multiple Tools
  14. ICLR 2025Towards Optimal Multi-draft Speculative Decoding
  15. ICLR 2025Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
  16. ICLR 2025Trusted Multi-View Classification via Evolutionary Multi-View Fusion
  17. ICLR 2025When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
  18. ICLR 2025Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression
  19. ICLR 2025XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
  20. ICML 2025A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
  21. ICML 2025A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
  22. ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
  23. ICML 2025A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
  24. ICML 2025A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
  25. ICML 2025Active feature acquisition via explainability-driven ranking
  26. ICML 2025Active Fine-Tuning of Multi-Task Policies
  27. ICML 2025Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
  28. ICML 2025Aligned Multi Objective Optimization
  29. ICML 2025ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning
  30. ICML 2025ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
  31. ICML 2025BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
  32. ICML 2025Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
  33. ICML 2025Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning
  34. ICML 2025Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
  35. ICML 2025Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
  36. ICML 2025Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
  37. ICML 2025Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning
  38. ICML 2025CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
  39. ICML 2025CALM: Consensus-Aware Localized Merging for Multi-Task Learning
  40. ICML 2025CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
  41. ICML 2025Constrained Pareto Set Identification with Bandit Feedback
  42. ICML 2025Deep Fuzzy Multi-view Learning for Reliable Classification
  43. ICML 2025Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning
  44. ICML 2025DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
  45. ICML 2025Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
  46. ICML 2025Enhancing Logits Distillation with Plug&Play Kendall's $\tau$ Ranking Loss
  47. ICML 2025Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
  48. ICML 2025Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
  49. ICML 2025From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
  50. ICML 2025Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning

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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