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 480 篇，第 3 / 10 页

101. CVPR 2026SPE-MVS Spatial Position Encoding Enhanced Multi-View Stereo with Monocular Depth
102. CVPR 2026StableMTL Repurposing Latent Diffusion Models for Multi-Task Learning from Partially
103. CVPR 2026STAGE Storyboard-Anchored Generation for Cinematic Multi-shot Narrative
104. CVPR 2026STAR-R1 Multi-View Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs
105. CVPR 2026Task-Aware Image Signal Processor for Advanced Visual Perception
106. CVPR 2026TaskIT Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer
107. CVPR 2026Temporal Interaction in Spiking Transformers with Multi-Delay Mixer
108. CVPR 2026TempR1 Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement
109. CVPR 2026Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing
110. CVPR 2026Towards Balanced Multi-Modal Learning in 3D Human Pose Estimation
111. CVPR 2026TROPHIES Temporal Reconstruction of Places Humans and Cameras from Multi-view
112. CVPR 2026UIKA Fast Universal Head Avatar from Pose-Free Images
113. CVPR 2026UnityVideo Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation
114. CVPR 2026URScenes A Multi-scenario Dataset for Unstructured Road Environments
115. CVPR 2026V2-SAM Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
116. CVPR 2026Virtual Immunohistochemistry Staining with Dual-Aligned Multi-Task Feature Guidance
117. CVPR 2026Wan-Weaver Interleaved Multi-modal Generation via Decoupled Training
118. CVPR 2026When CLIP Sees More It Fights Back Harder Multi-View Guided
119. CVPR 2026WHU-MARS A Multispectral Aerial-Ground Benchmark Towards Any-Scenario Person Re-Identification
120. ICLR 2026A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning
121. ICLR 2026AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
122. ICLR 2026Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?
123. ICLR 2026Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization
124. ICLR 2026Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs
125. ICLR 2026BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management
126. ICLR 2026CatalystBench: A Comprehensive Multi-Task Benchmark for Advancing Language Models in Catalysis Science
127. ICLR 2026CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design
128. ICLR 2026Context Learning for Multi-Agent Discussion
129. ICLR 2026Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets
130. ICLR 2026Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
131. ICLR 2026Denoising Neural Reranker for Recommender Systems
132. ICLR 2026Diagnosing Failures in Generalization from Task-Relevant Representational Geometry
133. ICLR 2026Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
134. ICLR 2026Discovering Novel LLM Experts via Task-Capability Coevolution
135. ICLR 2026DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
136. ICLR 2026Domain Expansion: A Latent Space Construction Framework for Multi-Task Learning
137. ICLR 2026DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
138. ICLR 2026Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations
139. ICLR 2026Efficient Estimation of Kernel Surrogate Models for Task Attribution
140. ICLR 2026Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits
141. ICLR 2026Enhanced Continual Learning of Vision-Language Models with Model Fusion
142. ICLR 2026Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs
143. ICLR 2026Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning
144. ICLR 2026EquAct: An SE(3)-Equivariant Multi-Task Transformer for 3D Robotic Manipulation
145. ICLR 2026Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
146. ICLR 2026FRABench and UFEval: Unified Fine-grained Evaluation with Task and Aspect Generalization
147. ICLR 2026From Embedding to Control: Representations for Stochastic Multi-Object Systems
148. ICLR 2026From Gradient Volume to Shapley Fairness: Towards Fair Multi-Task Learning
149. ICLR 2026G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation
150. ICLR 2026GoalRank: Group-Relative Optimization for a Large Ranking Model

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。