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 480 篇，第 6 / 10 页

  1. ICML 2026Learning Multi-Scale Hypergraph for High-Order Brain Connectivity Analysis
  2. ICML 2026Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning
  3. ICML 2026Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation
  4. ICML 2026Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning
  5. ICML 2026MADA-Attack: Transferable Multi-modal Attention Distraction Adversarial Attack against Vision Language Models
  6. ICML 2026MAGIC: Multi-Granularity Language-Informed Image Clustering
  7. ICML 2026MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
  8. ICML 2026Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
  9. ICML 2026MSP: Probabilistically Consistent Multi-Scale Action Generation
  10. ICML 2026Multi-Adapter Representation Interventions via Energy Calibration
  11. ICML 2026Multi-Objective Bayesian Optimization via Adaptive $\varepsilon$-Constraint Decomposition
  12. ICML 2026Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning
  13. ICML 2026Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
  14. ICML 2026Multi-Round Human–AI Collaboration with User-Specified Requirements
  15. ICML 2026Multi-Task Bayesian In-Context Learning
  16. ICML 2026Multi-Task GRPO: Reliable LLM Reasoning Across Tasks
  17. ICML 2026Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety
  18. ICML 2026NBCG: Nash-Bargained Causal Game for Long-Tailed Multi-Label NLP
  19. ICML 2026Near-Minimax Multi-Objective RL under Predictable Adversarial Preferences and Preference-Free Exploration in Linear MDPs
  20. ICML 2026Near-Optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
  21. ICML 2026Online Linear Programming for Multi-Objective Routing in LLM Serving
  22. ICML 2026Operationalising the Superficial Alignment Hypothesis via Task Complexity
  23. ICML 2026Orthogonal Model Merging
  24. ICML 2026Personalized Additive Modeling for Multi-level Federated Learning
  25. ICML 2026PhenoBrain: Phenotype-Conditioned Long-Range Communication for Multi-Modal Brain Network Analysis
  26. ICML 2026PoMtVRS: Preference-Optimized Multi-Task Vehicle Routing Solver with Preference Gating
  27. ICML 2026Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL
  28. ICML 2026Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing
  29. ICML 2026Preference-Modulated Structural Attention for Multi-Objective Combinatorial Optimization
  30. ICML 2026Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning
  31. ICML 2026Probability of Matching for Batch Multi-Objective Bayesian Optimization
  32. ICML 2026Problem Distributions as Tasks: Repurposing Meta Learning for Generative Combinatorial Optimization towards Multi-task Pretraining and Adaptation
  33. ICML 2026ProConMV: Provenance-Enabled Conceptual Framework for Interpretable Multi-View Diabetic Retinopathy Diagnosis
  34. ICML 2026Rank-Learner: Orthogonal Ranking of Treatment Effects
  35. ICML 2026Ranking Time Series using a Time Warping Ideal Point Model
  36. ICML 2026Rethinking Evaluation Paradigms in IBP-based Certified Training
  37. ICML 2026Reward-free Alignment for Conflicting Objectives
  38. ICML 2026Robust Multi-View Fusion via Prototype-Anchored Unbalanced Optimal Transport
  39. ICML 2026Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation
  40. ICML 2026Saliency-Aware Model Merging
  41. ICML 2026Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
  42. ICML 2026Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
  43. ICML 2026Structure-aware Granular-Ball based Information Bottleneck for Multi-modal Clustering
  44. ICML 2026SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
  45. ICML 2026T-GINEE: A Tensor-Based Multi-Graph Representation Learning
  46. ICML 2026The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution
  47. ICML 2026Time-Consistent Robust Multi-Objective Reinforcement Learning via a Bellman–Isaacs Weight-Adversary Recursion
  48. ICML 2026Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization
  49. ICML 2026Transformed Latent Variable Multi-Output Gaussian Processes
  50. ICML 2026Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs

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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