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 480 篇，第 4 / 10 页
- ICLR 2026Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
- ICLR 2026Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration
- ICLR 2026GRO-RAG: Gradient-aware Re-rank Optimization for Multi-source Retrieval-Augmented Generation
- ICLR 2026Hierarchical Multi-Scale Molecular Conformer Generation with Structural Awareness
- ICLR 2026Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing
- ICLR 2026ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference
- ICLR 2026Kevin: Multi-Turn RL for Generating CUDA Kernels
- ICLR 2026LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
- ICLR 2026LongHorizonUI: A Unified Framework for Robust long-horizon Task Automation of GUI Agent
- ICLR 2026MASS: MoErging through Adaptive Subspace Selection
- ICLR 2026MergOPT: A Merge-Aware Optimizer for Robust Model Merging
- ICLR 2026MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
- ICLR 2026MILPnet: A Multi-Scale Architecture with Geometric Feature Sequence Representations for Advancing MILP Problems
- ICLR 2026Multi-Agent Debate with Memory Masking
- ICLR 2026Multi-Armed Bandits with Minimum Aggregated Revenue Constraints
- ICLR 2026Multi-Condition Conformal Selection
- ICLR 2026Multi-Head Low-Rank Attention
- ICLR 2026Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
- ICLR 2026Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
- ICLR 2026Multi-objective Large Language Model Alignment with Hierarchical Experts
- ICLR 2026Multi-ReduNet: Interpretable Class-Wise Decomposition of ReduNet
- ICLR 2026Multi-Task Low-Rank Model Adaptation
- ICLR 2026Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
- ICLR 2026Neural Collapse in Multi-Task Learning
- ICLR 2026Neural Multi-Objective Combinatorial Optimization for Flexible Job Shop Scheduling Problems
- ICLR 2026OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
- ICLR 2026OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
- ICLR 2026Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
- ICLR 2026Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification
- ICLR 2026Property-Driven Protein Inverse Folding with Multi-Objective Preference Alignment
- ICLR 2026Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
- ICLR 2026RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
- ICLR 2026Reasoning-Driven Multimodal LLM for Domain Generalization
- ICLR 2026Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching
- ICLR 2026Reward Model Routing in Alignment
- ICLR 2026Robust Adaptive Multi-Step Predictive Shielding
- ICLR 2026Robust Multi-Objective Controlled Decoding of Large Language Models
- ICLR 2026Scaling Multi-Task Bayesian Optimization with Large Language Models
- ICLR 2026SWERank: Software Issue Localization with Code Ranking
- ICLR 2026SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
- ICLR 2026T-TAMER: Provably Taming Trade-offs in ML Serving
- ICLR 2026Task-Agnostic Amortized Multi-Objective Optimization
- ICLR 2026The Seismic Wavefield Common Task Framework
- ICLR 2026Toward Enhancing Representation Learning in Federated Multi-Task Settings
- ICLR 2026TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees
- ICLR 2026Uncover Underlying Correspondence for Robust Multi-view Clustering
- ICLR 2026Universal Multi-Domain Translation via Diffusion Routers
- ICLR 2026Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
- ICML 2026A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
- ICML 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotation
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。