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 144 篇，第 1 / 3 页

  1. NeurIPS 2025A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
  2. NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
  3. NeurIPS 2025A machine learning approach that beats Rubik's cubes
  4. NeurIPS 2025A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
  5. NeurIPS 2025A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
  6. NeurIPS 2025AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
  7. NeurIPS 2025Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
  8. NeurIPS 2025Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
  9. NeurIPS 2025AGI-Elo: How Far Are We From Mastering A Task?
  10. NeurIPS 2025Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
  11. NeurIPS 2025AutoData: A Multi-Agent System for Open Web Data Collection
  12. NeurIPS 2025Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
  13. NeurIPS 2025Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
  14. NeurIPS 2025BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
  15. NeurIPS 2025Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
  16. NeurIPS 2025Can Class-Priors Help Single-Positive Multi-Label Learning?
  17. NeurIPS 2025Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
  18. NeurIPS 2025Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
  19. NeurIPS 2025COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
  20. NeurIPS 2025ComRank: Ranking Loss for Multi-Label Complementary Label Learning
  21. NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
  22. NeurIPS 2025Constructing an Optimal Behavior Basis for the Option Keyboard
  23. NeurIPS 2025Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
  24. NeurIPS 2025Continual Optimization with Symmetry Teleportation for Multi-Task Learning
  25. NeurIPS 2025Contribution of task-irrelevant stimuli to drift of neural representations
  26. NeurIPS 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
  27. NeurIPS 2025CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing
  28. NeurIPS 2025Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
  29. NeurIPS 2025DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
  30. NeurIPS 2025DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
  31. NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
  32. NeurIPS 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
  33. NeurIPS 2025DINO-Foresight: Looking into the Future with DINO
  34. NeurIPS 2025Diversity-oriented Deep Multi-modal Clustering
  35. NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
  36. NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
  37. NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
  38. NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
  39. NeurIPS 2025EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining
  40. NeurIPS 2025EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
  41. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
  42. NeurIPS 2025Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
  43. NeurIPS 2025Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
  44. NeurIPS 2025Extracting task-relevant preserved dynamics from contrastive aligned neural recordings
  45. NeurIPS 2025FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
  46. NeurIPS 2025Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
  47. NeurIPS 2025Federated Continual Learning via Orchestrating Multi-Scale Expertise
  48. NeurIPS 2025FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
  49. NeurIPS 2025Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
  50. NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning

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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