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 485 篇，第 1 / 10 页

1. NeurIPS 2026A Black-Box Reduction from Regret to Multi-Level Coverage
2. NeurIPS 2026A Mahalanobis Margin \texorpdfstring{$\gamma_{\min}$}{gamma\_min} Bound on Task Confusion in Pretrained Class-Incremental Learning: From Infeasibility to Exponential Attenuation
3. NeurIPS 2026A Scalable Multi-Task Model for Virtual Sensors
4. NeurIPS 2026A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning
5. NeurIPS 2026AdaMAP: Learning Adaptive Multi-Action Prediction with Grounded Dreaming Guidance
6. NeurIPS 2026Adaptive LLM Routing for Multi-Turn Conversations with Continuously Evolving User Queries
7. NeurIPS 2026AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL
8. NeurIPS 2026AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
9. NeurIPS 2026AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators
10. NeurIPS 2026AgentHop: A Diagnostic Benchmark for Agentic Multi-Hop Scientific Question Answering
11. NeurIPS 2026AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reasoning
12. NeurIPS 2026AlphaPareto: Formulaic Alpha Discovery with LLM-Guided Multi-Objective Reinforcement Learning
13. NeurIPS 2026ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
14. NeurIPS 2026ASTOR: Multi-Task Code Reinforcement Learning via Utility-Driven Coordination
15. NeurIPS 2026Attention Is More Than You Need: Spectral Redundancy in Multi-Head Routing
16. NeurIPS 2026BACE: Behavior-Adaptive Connectivity Estimation from Multi-Region Neural Recordings
17. NeurIPS 2026Balanced Multi-Task Learning from an Optimality-Gap Perspective
18. NeurIPS 2026BECON: Belief-Conditioned Constrained Multi-Objective Reinforcement Learning under Drifting Preferences and Budgets
19. NeurIPS 2026Beyond Encoder Accumulation: Measuring Encoder Roles in Multi-Encoder VLMs
20. NeurIPS 2026Beyond FLOPs: Train-Full, Deploy-Partial Multi-Exit Inference via Selective Lightweight IC Ensemble
21. NeurIPS 2026Beyond IPS: Reliable Counterfactual Evaluation in Multi-Stage Ad Systems without Logged Propensities
22. NeurIPS 2026Beyond Outcome: Trajectory-Driven Prompt Optimization via Multi-Dimensional Rewards
23. NeurIPS 2026Beyond Task Success: Probing Cognitive Primitives in Web Agents
24. NeurIPS 2026Bilevel Optimization of Synthetic Trajectories for Multi-Turn LLM Fine-Tuning
25. NeurIPS 2026BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks
26. NeurIPS 2026Breaking the Bias Barrier in Concave Multi-Objective Reinforcement Learning
27. NeurIPS 2026Budgeted Multi-Source Counterfactual Annotation for Off-Policy Evaluation
28. NeurIPS 2026Can Metadata Fix the Gauge? Calibration Turns Sparse Multi-Source Learning from Sparse PCA into Sparse Mean Recovery
29. NeurIPS 2026Causal Multi-Task Demand Learning
30. NeurIPS 2026CoffeeBench: A Benchmark for Long-Horizon Strategic Decision-Making in Multi-Agent Economies
31. NeurIPS 2026Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
32. NeurIPS 2026Collapse Hunter: Tackling the Dimensional Degeneration in Generative Ranking
33. NeurIPS 2026COMPOSE: Hypergraph Cover Optimization for Multi-view 3D Human Pose Estimation
34. NeurIPS 2026CondenseVLA: Learnable History Condensation for Efficient Multi-Frame VLA
35. NeurIPS 2026Conservative Pareto Set Amortization for Offline Multi-Objective Optimization
36. NeurIPS 2026Constructive Neural Policies for the Quadratic Assignment Problem via Multi-Expert Imitation
37. NeurIPS 2026Cross-User Poisoning: User-Task Boundary Failures in Multi-User Collaborative Language Agents
38. NeurIPS 2026Curvature-Guided Parameter Initialization for Multi-Task Learning
39. NeurIPS 2026Cyclic Discrete Diffusion: A Novel Multi-Class Segmentation Refinement Technique
40. NeurIPS 2026DaCe-DT: Data-Centric Offline Multi-Task Reinforcement Learning via Adaptive Prompts and Trajectory Correction for Heterogeneous Tasks
41. NeurIPS 2026DD-Ranking: Rethinking the Evaluation of Dataset Distillation
42. NeurIPS 2026DDMS: Discriminative Distillation of Multi-view Foundational Features into Single-view Models
43. NeurIPS 2026Deconstructing Multi-Task Active Learning: The Paradox of Gradient Conflict and Orthogonal Decomposition
44. NeurIPS 2026Deep Gaussian Processes on Directed Acyclic Graphs
45. NeurIPS 2026Delve into the Applicability of Advanced Optimizers for Multi-Task Learning
46. NeurIPS 2026Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
47. NeurIPS 2026Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling
48. NeurIPS 2026Driver Attention as Competitive Allocation: A Scene--Task-Aware Dual-Branch Framework
49. NeurIPS 2026Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
50. NeurIPS 2026EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction

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。