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 83 篇,第 1 / 2 页
- CVPR 2023A Light Touch Approach to Teaching Transformers Multi-View Geometry
- CVPR 2023Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo
- CVPR 2023AeDet: Azimuth-Invariant Multi-View 3D Object Detection
- CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
- CVPR 2023Batch Model Consolidation: A Multi-Task Model Consolidation Framework
- CVPR 2023Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation
- CVPR 2023Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
- CVPR 2023CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
- CVPR 2023Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries
- CVPR 2023CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending
- CVPR 2023Dealing With Cross-Task Class Discrimination in Online Continual Learning
- CVPR 2023Decentralized Learning With Multi-Headed Distillation
- CVPR 2023Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning
- CVPR 2023DF-Platter: Multi-Face Heterogeneous Deepfake Dataset
- CVPR 2023Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies
- CVPR 2023Egocentric Video Task Translation
- CVPR 2023FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
- CVPR 2023G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors
- CVPR 2023Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
- CVPR 2023GeoMVSNet: Learning Multi-View Stereo With Geometry Perception
- CVPR 2023GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
- CVPR 2023GLeaD: Improving GANs With a Generator-Leading Task
- CVPR 2023GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images
- CVPR 2023Hierarchical Prompt Learning for Multi-Task Learning
- CVPR 2023Independent Component Alignment for Multi-Task Learning
- CVPR 2023Indescribable Multi-Modal Spatial Evaluator
- CVPR 2023Ingredient-Oriented Multi-Degradation Learning for Image Restoration
- CVPR 2023Instant Multi-View Head Capture Through Learnable Registration
- CVPR 2023Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images
- CVPR 2023Language Adaptive Weight Generation for Multi-Task Visual Grounding
- CVPR 2023MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation
- CVPR 2023MaPLe: Multi-Modal Prompt Learning
- CVPR 2023Masked Image Modeling With Local Multi-Scale Reconstruction
- CVPR 2023MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos
- CVPR 2023MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer
- CVPR 2023MetaViewer: Towards a Unified Multi-View Representation
- CVPR 2023MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence
- CVPR 2023Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives
- CVPR 2023Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners
- CVPR 2023MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion
- CVPR 2023MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
- CVPR 2023MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
- CVPR 2023Multi Domain Learning for Motion Magnification
- CVPR 2023Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference
- CVPR 2023Multi-Label Compound Expression Recognition: C-EXPR Database & Network
- CVPR 2023Multi-Level Logit Distillation
- CVPR 2023Multi-Modal Representation Learning With Text-Driven Soft Masks
- CVPR 2023Multi-Realism Image Compression With a Conditional Generator
- CVPR 2023Multi-Space Neural Radiance Fields
- CVPR 2023Multi-View Azimuth Stereo via Tangent Space Consistency
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。