多任务排序论文趋势 2023–2026
多目标排序
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,440 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 56 | 58 | 55 | 83 | 252 |
| 2024 | 110 | 38 | 67 | 100 | 315 |
| 2025 | 144 | 75 | 80 | 94 | 393 |
| 2026 | 175 | 79 | 107 | 119 | 480 |
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 1,440 篇，第 13 / 29 页
- ICLR 2025InstantPortrait: One-Step Portrait Editing via Diffusion Multi-Objective Distillation
- ICLR 2025It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation
- ICLR 2025Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization
- ICLR 2025Learned Reference-based Diffusion Sampler for multi-modal distributions
- ICLR 2025Learning Diagrams: A Graphical Language for Compositional Training Regimes
- ICLR 2025Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
- ICLR 2025Learning to Help in Multi-Class Settings
- ICLR 2025Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
- ICLR 2025Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization
- ICLR 2025LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content
- ICLR 2025Many-Objective Multi-Solution Transport
- ICLR 2025MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
- ICLR 2025MAP: Multi-Human-Value Alignment Palette
- ICLR 2025Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement
- ICLR 2025MGDA Converges under Generalized Smoothness, Provably
- ICLR 2025Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
- ICLR 2025Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
- ICLR 2025MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
- ICLR 2025MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations
- ICLR 2025Multi-Dimensional Conformal Prediction
- ICLR 2025Multi-Label Node Classification with Label Influence Propagation
- ICLR 2025Multi-objective Differentiable Neural Architecture Search
- ICLR 2025Multi-session, multi-task neural decoding from distinct cell-types and brain regions
- ICLR 2025Multi-Task Dense Predictions via Unleashing the Power of Diffusion
- ICLR 2025Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
- ICLR 2025NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
- ICLR 2025OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?
- ICLR 2025On Generalization Across Environments In Multi-Objective Reinforcement Learning
- ICLR 2025Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference
- ICLR 2025Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
- ICLR 2025ParetoFlow: Guided Flows in Multi-Objective Optimization
- ICLR 2025Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
- ICLR 2025QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
- ICLR 2025Redefining the task of Bioactivity Prediction
- ICLR 2025Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
- ICLR 2025Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
- ICLR 2025Selective Task Group Updates for Multi-Task Optimization
- ICLR 2025STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
- ICLR 2025Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
- ICLR 2025Task Descriptors Help Transformers Learn Linear Models In-Context
- ICLR 2025Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
- ICLR 2025TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types
- ICLR 2025Tool-Planner: Task Planning with Clusters across Multiple Tools
- ICLR 2025Towards Optimal Multi-draft Speculative Decoding
- ICLR 2025Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
- ICLR 2025Trusted Multi-View Classification via Evolutionary Multi-View Fusion
- ICLR 2025When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
- ICLR 2025Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression
- ICLR 2025XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
- ICML 2025A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查多任务排序在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "multi-task-ranking"}
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。