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 18 / 29 页
- NeurIPS 2025RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
- NeurIPS 2025ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
- NeurIPS 2025RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
- NeurIPS 2025RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness
- NeurIPS 2025Scalable In-context Ranking with Generative Models
- NeurIPS 2025Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation
- NeurIPS 2025Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels
- NeurIPS 2025Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
- NeurIPS 2025SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
- NeurIPS 2025STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
- NeurIPS 2025Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
- NeurIPS 2025Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
- NeurIPS 2025The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets
- NeurIPS 2025Thompson Sampling for Multi-Objective Linear Contextual Bandit
- NeurIPS 2025Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement
- NeurIPS 2025Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling
- NeurIPS 2025Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
- NeurIPS 2025Transductive Conformal Inference for Full Ranking
- NeurIPS 2025TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
- NeurIPS 2025Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
- NeurIPS 2025Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
- NeurIPS 2025What Does It Take to Build a Performant Selective Classifier?
- NeurIPS 2025Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering
- CVPR 20242S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view Images
- CVPR 20243D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions
- CVPR 2024A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning
- CVPR 2024Accurate Spatial Gene Expression Prediction by Integrating Multi-Resolution Features
- CVPR 2024ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association
- CVPR 2024Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
- CVPR 2024Advancing Saliency Ranking with Human Fixations: Dataset Models and Benchmarks
- CVPR 2024AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
- CVPR 2024AssistGUI: Task-Oriented PC Graphical User Interface Automation
- CVPR 2024Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
- CVPR 2024Category-Level Multi-Part Multi-Joint 3D Shape Assembly
- CVPR 2024Class Incremental Learning with Multi-Teacher Distillation
- CVPR 2024CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow
- CVPR 2024ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion
- CVPR 2024ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion
- CVPR 2024Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking
- CVPR 2024CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing
- CVPR 2024CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models
- CVPR 2024DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking
- CVPR 2024DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
- CVPR 2024DiffusionRegPose: Enhancing Multi-Person Pose Estimation using a Diffusion-Based End-to-End Regression Approach
- CVPR 2024Domain Separation Graph Neural Networks for Saliency Object Ranking
- CVPR 2024Dual DETRs for Multi-Label Temporal Action Detection
- CVPR 2024Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
- CVPR 2024EFHQ: Multi-purpose ExtremePose-Face-HQ dataset
- CVPR 2024EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI
- CVPR 2024Error Detection in Egocentric Procedural Task Videos
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。