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 1,181 篇，第 4 / 24 页

  1. ICLR 2026G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation
  2. ICLR 2026GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception
  3. ICLR 2026Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
  4. ICLR 2026GUIDE: Gated Uncertainty-Informed Disentangled Experts for Long-tailed Recognition
  5. ICLR 2026Hierarchical Multi-Scale Molecular Conformer Generation with Structural Awareness
  6. ICLR 2026Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing
  7. ICLR 2026Incomplete Multi-View Multi-Label Classification via Shared Codebook and Fused-Teacher Self-Distillation
  8. ICLR 2026Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
  9. ICLR 2026Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restoration
  10. ICLR 2026Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting
  11. ICLR 2026Low rank adaptation of chemical foundation models generate effective odorant representations
  12. ICLR 2026MASS: MoErging through Adaptive Subspace Selection
  13. ICLR 2026MergOPT: A Merge-Aware Optimizer for Robust Model Merging
  14. ICLR 2026MILPnet: A Multi-Scale Architecture with Geometric Feature Sequence Representations for Advancing MILP Problems
  15. ICLR 2026Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory?
  16. ICLR 2026MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation
  17. ICLR 2026Multi-Condition Conformal Selection
  18. ICLR 2026Multi-Feature Quantized Self-Attention for Fair Large Language Models
  19. ICLR 2026Multi-Head Low-Rank Attention
  20. ICLR 2026Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
  21. ICLR 2026Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
  22. ICLR 2026Multi-Task Low-Rank Model Adaptation
  23. ICLR 2026Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
  24. ICLR 2026Neural Collapse in Multi-Task Learning
  25. ICLR 2026Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification
  26. ICLR 2026PERSISTENCE SPHERES: BI-CONTINUOUS REPRESENTATIONS OF PERSISTENCE DIAGRAMS.
  27. ICLR 2026PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme Classification
  28. ICLR 2026Protein Structure Tokenization via Geometric Byte Pair Encoding
  29. ICLR 2026Scaling Multi-Task Bayesian Optimization with Large Language Models
  30. ICLR 2026SpectraLLM: Uncovering the Ability of LLMs for Molecule Structure Elucidation from Multi-Spectra
  31. ICLR 2026SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
  32. ICLR 2026Task-Agnostic Amortized Multi-Objective Optimization
  33. ICLR 2026Toward Enhancing Representation Learning in Federated Multi-Task Settings
  34. ICLR 2026TyphoonMLA: A Mixed Naive-Absorb MLA Kernel For Shared Prefix
  35. ICLR 2026Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
  36. ICML 2026A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
  37. ICML 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotation
  38. ICML 2026A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
  39. ICML 2026A Unified Sparse Attention via Multi-Granularity Compression
  40. ICML 2026Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
  41. ICML 2026Alleviating Observation Bias via Causal-Invariant Meta-Learning for Unbalanced Incomplete Multi-view Clustering
  42. ICML 2026Attention Implements the Fisher Geometry of Exponential Families
  43. ICML 2026Being More Lightweight and Practical: Mini-sized Contrastive Learning Pre-trained Models for Fine-grained Traffic Task
  44. ICML 2026Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
  45. ICML 2026Breaking Multi-Task Curse: Reward-Weighted Evolution for Black-Box Many-Task Optimization
  46. ICML 2026Causal Disentangled Anchor Learning for Scalable Fair Multi-view Clustering
  47. ICML 2026CLIMB: Taming the LoRA Residency Cliff in Multi-LoRA Serving
  48. ICML 2026Convergent World Representations and Divergent Tasks
  49. ICML 2026CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
  50. ICML 2026Cross-Tactile Sensor Representation 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"}

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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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