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 252 篇，第 2 / 6 页

51. CVPR 2023Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF)
52. CVPR 2023NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images
53. CVPR 2023NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images
54. CVPR 2023NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images
55. CVPR 2023Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views
56. CVPR 2023NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation
57. CVPR 2023NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies
58. CVPR 2023Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
59. CVPR 2023OmniVidar: Omnidirectional Depth Estimation From Multi-Fisheye Images
60. CVPR 2023Open Set Action Recognition via Multi-Label Evidential Learning
61. CVPR 2023Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
62. CVPR 2023PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices
63. CVPR 2023POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo
64. CVPR 2023Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks
65. CVPR 2023Quantum Multi-Model Fitting
66. CVPR 2023Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
67. CVPR 2023Referring Multi-Object Tracking
68. CVPR 2023ResFormer: Scaling ViTs With Multi-Resolution Training
69. CVPR 2023RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
70. CVPR 2023Semi-Supervised Learning Made Simple With Self-Supervised Clustering
71. CVPR 2023Simple Cues Lead to a Strong Multi-Object Tracker
72. CVPR 2023Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks
73. CVPR 2023Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images
74. CVPR 2023Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
75. CVPR 2023TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition
76. CVPR 2023Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information
77. CVPR 2023Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View
78. CVPR 2023Towards Flexible Multi-Modal Document Models
79. CVPR 2023Two-Way Multi-Label Loss
80. CVPR 2023Viewpoint Equivariance for Multi-View 3D Object Detection
81. CVPR 2023Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
82. CVPR 2023VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction
83. CVPR 2023Why Is the Winner the Best?
84. ICLR 2023A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
85. ICLR 2023Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
86. ICLR 2023An Additive Instance-Wise Approach to Multi-class Model Interpretation
87. ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
88. ICLR 2023Asynchronous Gradient Play in Zero-Sum Multi-agent Games
89. ICLR 2023Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
90. ICLR 2023Collaborative Pure Exploration in Kernel Bandit
91. ICLR 2023Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
92. ICLR 2023Compositional Task Representations for Large Language Models
93. ICLR 2023DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
94. ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
95. ICLR 2023Editing models with task arithmetic
96. ICLR 2023Efficiently Controlling Multiple Risks with Pareto Testing
97. ICLR 2023Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
98. ICLR 2023EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
99. ICLR 2023Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
100. ICLR 2023f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation

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。