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 393 篇,第 2 / 8 页
- CVPR 2025MangaNinja: Line Art Colorization with Precise Reference Following
- CVPR 2025Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering
- CVPR 2025MET3R: Measuring Multi-View Consistency in Generated Images
- CVPR 2025MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing
- CVPR 2025MLVU: Benchmarking Multi-task Long Video Understanding
- CVPR 2025MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling
- CVPR 2025MMRL: Multi-Modal Representation Learning for Vision-Language Models
- CVPR 2025MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception
- CVPR 2025MobileMamba: Lightweight Multi-Receptive Visual Mamba Network
- CVPR 2025MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
- CVPR 2025Motions as Queries: One-Stage Multi-Person Holistic Human Motion Capture
- CVPR 2025MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes
- CVPR 2025Mr. DETR: Instructive Multi-Route Training for Detection Transformers
- CVPR 2025Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs
- CVPR 2025Multi-Modal Synergistic Implicit Image Enhancement for Efficient Optical Flow Estimation
- CVPR 2025Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information
- CVPR 2025MultiGO: Towards Multi-level Geometry Learning for Monocular 3D Textured Human Reconstruction
- CVPR 2025MUSt3R: Multi-view Network for Stereo 3D Reconstruction
- CVPR 2025MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D
- CVPR 2025Omnidirectional Multi-Object Tracking
- CVPR 2025PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
- CVPR 2025PDFactor: Learning Tri-Perspective View Policy Diffusion Field for Multi-Task Robotic Manipulation
- CVPR 2025PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos
- CVPR 2025Pippo: High-Resolution Multi-View Humans from a Single Image
- CVPR 2025ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
- CVPR 2025Resilient Sensor Fusion Under Adverse Sensor Failures via Multi-Modal Expert Fusion
- CVPR 2025ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence
- CVPR 2025SocialGesture: Delving into Multi-person Gesture Understanding
- CVPR 2025SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
- CVPR 2025TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning
- CVPR 2025Task Singular Vectors: Reducing Task Interference in Model Merging
- CVPR 2025Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
- CVPR 2025Task-driven Image Fusion with Learnable Fusion Loss
- CVPR 2025Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability
- CVPR 2025Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels
- CVPR 2025TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization
- CVPR 2025Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters
- CVPR 2025Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
- CVPR 2025Towards Universal Dataset Distillation via Task-Driven Diffusion
- CVPR 2025Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation
- CVPR 2025Understanding Multi-Task Activities from Single-Task Videos
- CVPR 2025VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks
- CVPR 2025WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
- CVPR 2025Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos
- ICLR 2025A Statistical Framework for Ranking LLM-based Chatbots
- ICLR 2025Accelerating Task Generalisation with Multi-Level Skill Hierarchies
- ICLR 2025Active Task Disambiguation with LLMs
- ICLR 2025Agent-Oriented Planning in Multi-Agent Systems
- ICLR 2025Balanced Ranking with Relative Centrality: A multi-core periphery perspective
- ICLR 2025BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
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。