多任务学习论文趋势 2023–2026

共享表示

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,181 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

多任务学习论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023111435282288
202461315877227
2025101404776264
20261265791128402

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

全部多任务学习论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 399 篇，第 7 / 8 页

  1. NeurIPS 2023Bandit Task Assignment with Unknown Processing Time
  2. NeurIPS 2023BanditPAM++: Faster $k$-medoids Clustering
  3. NeurIPS 2023CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes
  4. NeurIPS 2023Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
  5. NeurIPS 2023Chatting Makes Perfect: Chat-based Image Retrieval
  6. NeurIPS 2023Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning
  7. NeurIPS 2023CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations
  8. NeurIPS 2023Connecting Multi-modal Contrastive Representations
  9. NeurIPS 2023Conservative Offline Policy Adaptation in Multi-Agent Games
  10. NeurIPS 2023Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
  11. NeurIPS 2023Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
  12. NeurIPS 2023DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
  13. NeurIPS 2023Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning
  14. NeurIPS 2023Deep Momentum Multi-Marginal Schrödinger Bridge
  15. NeurIPS 2023Demystifying the Optimal Performance of Multi-Class Classification
  16. NeurIPS 2023DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
  17. NeurIPS 2023Diffused Task-Agnostic Milestone Planner
  18. NeurIPS 2023Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
  19. NeurIPS 2023Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
  20. NeurIPS 2023Elastic Decision Transformer
  21. NeurIPS 2023Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
  22. NeurIPS 2023Episodic Multi-Task Learning with Heterogeneous Neural Processes
  23. NeurIPS 2023Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
  24. NeurIPS 2023Federated Multi-Objective Learning
  25. NeurIPS 2023FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
  26. NeurIPS 2023ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
  27. NeurIPS 2023Generalized test utilities for long-tail performance in extreme multi-label classification
  28. NeurIPS 2023Geodesic Multi-Modal Mixup for Robust Fine-Tuning
  29. NeurIPS 2023Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning
  30. NeurIPS 2023Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
  31. NeurIPS 2023HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
  32. NeurIPS 2023ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
  33. NeurIPS 2023Joint Data-Task Generation for Auxiliary Learning
  34. NeurIPS 2023Learning and Collusion in Multi-unit Auctions
  35. NeurIPS 2023Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
  36. NeurIPS 2023Learning Human Action Recognition Representations Without Real Humans
  37. NeurIPS 2023Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
  38. NeurIPS 2023Learning Shared Safety Constraints from Multi-task Demonstrations
  39. NeurIPS 2023Learning to Modulate pre-trained Models in RL
  40. NeurIPS 2023Learning to Taste: A Multimodal Wine Dataset
  41. NeurIPS 2023Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
  42. NeurIPS 2023Leveraging sparse and shared feature activations for disentangled representation learning
  43. NeurIPS 2023Locality-Aware Generalizable Implicit Neural Representation
  44. NeurIPS 2023Loss Decoupling for Task-Agnostic Continual Learning
  45. NeurIPS 2023M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark
  46. NeurIPS 2023Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning
  47. NeurIPS 2023Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
  48. NeurIPS 2023Meta-Learning Adversarial Bandit Algorithms
  49. NeurIPS 2023Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
  50. NeurIPS 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing

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 查多任务学习在 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-learning"}

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学习论文？
共 1,181 篇，按年份分别是 2023 年 288 篇、2024 年 227 篇、2025 年 264 篇、2026 年 402 篇。
NeurIPS 2026 有多少篇多任务学习论文？
NeurIPS 2026 有 126 篇多任务学习论文，上一届是 101 篇。
ICLR 2026 有多少篇多任务学习论文？
ICLR 2026 有 57 篇多任务学习论文，上一届是 40 篇。
ICML 2026 有多少篇多任务学习论文？
ICML 2026 有 91 篇多任务学习论文，上一届是 47 篇。
CVPR 2026 有多少篇多任务学习论文？
CVPR 2026 有 128 篇多任务学习论文，上一届是 76 篇。
哪个会议的多任务学习论文最多？
NeurIPS，2023–2026 年共 399 篇。

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