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 83 篇，第 2 / 2 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?

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。