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 3 / 3 页

101. NeurIPS 2025One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning
102. NeurIPS 2025OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization
103. NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
104. NeurIPS 2025Optimal Rates in Continual Linear Regression via Increasing Regularization
105. NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
106. NeurIPS 2025Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis
107. NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
108. NeurIPS 2025PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
109. NeurIPS 2025PLD: A Choice-Theoretic List-Wise Knowledge Distillation
110. NeurIPS 2025pLSTM: parallelizable Linear Source Transition Mark networks
111. NeurIPS 2025Post Hoc Regression Refinement via Pairwise Rankings
112. NeurIPS 2025Preference-Based Dynamic Ranking Structure Recognition
113. NeurIPS 2025Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
114. NeurIPS 2025Preference-Guided Diffusion for Multi-Objective Offline Optimization
115. NeurIPS 2025PROFIT: A Specialized Optimizer for Deep Fine Tuning
116. NeurIPS 2025Prompt Tuning Decision Transformers with Structured and Scalable Bandits
117. NeurIPS 2025Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
118. NeurIPS 2025Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
119. NeurIPS 2025Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
120. NeurIPS 2025RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
121. NeurIPS 2025RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
122. NeurIPS 2025RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
123. NeurIPS 2025ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
124. NeurIPS 2025RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
125. NeurIPS 2025RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness
126. NeurIPS 2025Scalable In-context Ranking with Generative Models
127. NeurIPS 2025Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation
128. NeurIPS 2025Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels
129. NeurIPS 2025Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
130. NeurIPS 2025SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
131. NeurIPS 2025STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
132. NeurIPS 2025Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
133. NeurIPS 2025Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
134. NeurIPS 2025The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets
135. NeurIPS 2025Thompson Sampling for Multi-Objective Linear Contextual Bandit
136. NeurIPS 2025Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement
137. NeurIPS 2025Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling
138. NeurIPS 2025Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
139. NeurIPS 2025Transductive Conformal Inference for Full Ranking
140. NeurIPS 2025TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
141. NeurIPS 2025Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
142. NeurIPS 2025Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
143. NeurIPS 2025What Does It Take to Build a Performant Selective Classifier?
144. NeurIPS 2025Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering

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。