多任务排序论文趋势 2023–2026

主要结论

• 多任务排序论文从 2023 年的 252 篇增长到 2026 年的 480 篇，三年间扩大到约 1.9 倍。
• NeurIPS 是发多任务排序论文最多的会议，2023–2026 年共 485 篇，占四个会议总量的 34%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 8 篇增至 2026 年的 52 篇。
• 在「推荐与广告」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的点击率预测是 2.6 倍，多任务排序是 1.9 倍。

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

• NeurIPS 2026A Mahalanobis Margin \texorpdfstring{$\gamma_{\min}$}{gamma\_min} Bound on Task Confusion in Pretrained Class-Incremental Learning: From Infeasibility to Exponential Attenuation
• ICML 2026Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
• ICLR 2026Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?
• CVPR 2026A Supervised Multi-task Framework for Joint cryo-ET Restoration Enabled by
• NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
• ICML 2025ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
• ICLR 2025Balanced Ranking with Relative Centrality: A multi-core periphery perspective
• CVPR 2025ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling
• NeurIPS 2024CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
• ICML 2024Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
• ICLR 2024Order-Preserving GFlowNets
• CVPR 2024Domain Separation Graph Neural Networks for Saliency Object Ranking
• NeurIPS 2023AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
• ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
• ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
• CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
• NeurIPS 2026A Scalable Multi-Task Model for Virtual Sensors
• ICML 2026Alleviating Observation Bias via Causal-Invariant Meta-Learning for Unbalanced Incomplete Multi-view Clustering
• ICLR 2026Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
• CVPR 2026Block-Sparse Global Attention for Efficient Multi-View Geometry Transformers

全部多任务排序论文

共 144 篇，第 2 / 3 页

51. NeurIPS 2025FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization
52. NeurIPS 2025G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
53. NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
54. NeurIPS 2025Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
55. NeurIPS 2025GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
56. NeurIPS 2025Gradient-Guided Epsilon Constraint Method for Online Continual Learning
57. NeurIPS 2025GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining
58. NeurIPS 2025GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
59. NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
60. NeurIPS 2025HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
61. NeurIPS 2025Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
62. NeurIPS 2025IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
63. NeurIPS 2025Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
64. NeurIPS 2025Individual Regret in Cooperative Stochastic Multi-Armed Bandits
65. NeurIPS 2025Language Ranker: A Lightweight Ranking framework for LLM Decoding
66. NeurIPS 2025Large Language Models Miss the Multi-agent Mark
67. NeurIPS 2025LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
68. NeurIPS 2025Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
69. NeurIPS 2025Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
70. NeurIPS 2025Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering
71. NeurIPS 2025Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
72. NeurIPS 2025Learning Task-Agnostic Representations through Multi-Teacher Distillation
73. NeurIPS 2025Learning to Learn with Contrastive Meta-Objective
74. NeurIPS 2025Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
75. NeurIPS 2025LIFEBENCH: Evaluating Length Instruction Following in Large Language Models
76. NeurIPS 2025LLM-PySC2: Starcraft II learning environment for Large Language Models
77. NeurIPS 2025MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
78. NeurIPS 2025Meta-World+: An Improved, Standardized, RL Benchmark
79. NeurIPS 2025MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
80. NeurIPS 2025MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation
81. NeurIPS 2025MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
82. NeurIPS 2025Momentum Multi-Marginal Schrödinger Bridge Matching
83. NeurIPS 2025MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
84. NeurIPS 2025MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
85. NeurIPS 2025MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
86. NeurIPS 2025Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
87. NeurIPS 2025Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
88. NeurIPS 2025Multi-head Temporal Latent Attention
89. NeurIPS 2025Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent
90. NeurIPS 2025Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
91. NeurIPS 2025Multi-Objective One-Shot Pruning for Large Language Models
92. NeurIPS 2025Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
93. NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
94. NeurIPS 2025Multi-Token Prediction Needs Registers
95. NeurIPS 2025MVSMamba: Multi-View Stereo with State Space Model
96. NeurIPS 2025Neural Evolution Strategy for Black-box Pareto Set Learning
97. NeurIPS 2025NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
98. NeurIPS 2025Objective Soups: Multilingual Multi-Task Modeling for Speech Processing
99. NeurIPS 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
100. NeurIPS 2025On the sample complexity of semi-supervised multi-objective learning

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。