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 16 / 29 页

  1. NeurIPS 2025Constructing an Optimal Behavior Basis for the Option Keyboard
  2. NeurIPS 2025Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
  3. NeurIPS 2025Continual Optimization with Symmetry Teleportation for Multi-Task Learning
  4. NeurIPS 2025Contribution of task-irrelevant stimuli to drift of neural representations
  5. NeurIPS 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
  6. NeurIPS 2025CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing
  7. NeurIPS 2025Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
  8. NeurIPS 2025DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
  9. NeurIPS 2025DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
  10. NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
  11. NeurIPS 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
  12. NeurIPS 2025DINO-Foresight: Looking into the Future with DINO
  13. NeurIPS 2025Diversity-oriented Deep Multi-modal Clustering
  14. NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
  15. NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
  16. NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
  17. NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
  18. NeurIPS 2025EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining
  19. NeurIPS 2025EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
  20. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
  21. NeurIPS 2025Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
  22. NeurIPS 2025Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
  23. NeurIPS 2025Extracting task-relevant preserved dynamics from contrastive aligned neural recordings
  24. NeurIPS 2025FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
  25. NeurIPS 2025Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
  26. NeurIPS 2025Federated Continual Learning via Orchestrating Multi-Scale Expertise
  27. NeurIPS 2025FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
  28. NeurIPS 2025Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
  29. NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
  30. NeurIPS 2025FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization
  31. NeurIPS 2025G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
  32. NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
  33. NeurIPS 2025Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
  34. NeurIPS 2025GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
  35. NeurIPS 2025Gradient-Guided Epsilon Constraint Method for Online Continual Learning
  36. NeurIPS 2025GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining
  37. NeurIPS 2025GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
  38. NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
  39. NeurIPS 2025HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
  40. NeurIPS 2025Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
  41. NeurIPS 2025IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
  42. NeurIPS 2025Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
  43. NeurIPS 2025Individual Regret in Cooperative Stochastic Multi-Armed Bandits
  44. NeurIPS 2025Language Ranker: A Lightweight Ranking framework for LLM Decoding
  45. NeurIPS 2025Large Language Models Miss the Multi-agent Mark
  46. NeurIPS 2025LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
  47. NeurIPS 2025Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
  48. NeurIPS 2025Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
  49. NeurIPS 2025Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering
  50. NeurIPS 2025Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis

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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