多任务学习论文趋势 2023–2026
共享表示
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,181 篇被归入该主题的论文。
主要结论
- 多任务学习论文从 2023 年的 288 篇增长到 2026 年的 402 篇,三年间扩大到约 1.4 倍。
- NeurIPS 是发多任务学习论文最多的会议,2023–2026 年共 399 篇,占四个会议总量的 34%。
- 交叉方向里涨得最快的是数据集与基准:同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 16 篇。
- 在「元学习与迁移」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的基础模型适配是 3.8 倍,多任务学习是 1.4 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 111 | 43 | 52 | 82 | 288 |
| 2024 | 61 | 31 | 58 | 77 | 227 |
| 2025 | 101 | 40 | 47 | 76 | 264 |
| 2026 | 126 | 57 | 91 | 128 | 402 |
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 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotation
- ICLR 2026Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?
- CVPR 20263D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding
- 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 2025CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
- 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 2024Class Incremental Learning via Likelihood Ratio Based Task Prediction
- CVPR 2024Differentiable Information Bottleneck for Deterministic Multi-view Clustering
- NeurIPS 2023A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- ICML 2023A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
- 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 2026Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization
- CVPR 2026Any Resolution Any Geometry From Multi-View To Multi-Patch
全部多任务学习论文
共 1,181 篇,第 3 / 24 页
- CVPR 2026Rethinking Position Embedding as a Context Controller for Multi-Reference and
- CVPR 2026Scalable Multi-View Subspace Clustering with Tensorized Anchor Guidance
- CVPR 2026ShreddingNet Coarse-to-Fine Restoration for Multi-Source Shredded Manuscripts
- CVPR 2026SigLino Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models
- CVPR 2026Skullptor High Fidelity 3D Head Reconstruction in Seconds with Multi-View
- CVPR 2026Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer
- CVPR 2026SPE-MVS Spatial Position Encoding Enhanced Multi-View Stereo with Monocular Depth
- CVPR 2026Spectrally Distilled Representations Aligned with Instruction-Augmented LLMs for Satellite Imagery
- CVPR 2026StableMTL Repurposing Latent Diffusion Models for Multi-Task Learning from Partially
- CVPR 2026Stay in your Lane Role Specific Queries with Overlap Suppression
- CVPR 2026Task-Aware Image Signal Processor for Advanced Visual Perception
- CVPR 2026Task-Driven Implicit Representations for Automated Design of LiDAR Systems
- CVPR 2026TaskIT Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer
- CVPR 2026TempR1 Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement
- CVPR 2026Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing
- CVPR 2026Test-Time Multi-Prompt Adaptation for Open-Vocabulary Remote Sensing Image Segmentation
- CVPR 2026Toward Generalizable Whole Brain Representations with High-Resolution Light-Sheet Data
- CVPR 2026Tri-Subspaces Disentanglement for Multimodal Sentiment Analysis
- CVPR 2026TSTM Temporal Segmentation for Task-relevant Mask in Visual Reinforcement Learning
- CVPR 2026Unique Lives Shared World Learning from Single-Life Videos
- CVPR 2026UnityVideo Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation
- CVPR 2026UniVerse A Unified Modulation Framework for Segmentation-Free Disentangled Multi-Concept Personalization
- CVPR 2026URScenes A Multi-scenario Dataset for Unstructured Road Environments
- CVPR 2026V2-SAM Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
- CVPR 2026Virtual Immunohistochemistry Staining with Dual-Aligned Multi-Task Feature Guidance
- CVPR 2026Wan-Weaver Interleaved Multi-modal Generation via Decoupled Training
- CVPR 2026WeatherCity Urban Scene Reconstruction with Controllable Multi-Weather Transformation
- CVPR 2026WHU-MARS A Multispectral Aerial-Ground Benchmark Towards Any-Scenario Person Re-Identification
- ICLR 2026Adaptive Test-Time Training for Predicting Need for Invasive Mechanical Ventilation in Multi-Center Cohorts
- ICLR 2026Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?
- ICLR 2026Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization
- ICLR 2026Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz Lens
- ICLR 2026Calibrated Information Bottleneck for Trusted Multi-modal Clustering
- ICLR 2026CatalystBench: A Comprehensive Multi-Task Benchmark for Advancing Language Models in Catalysis Science
- ICLR 2026Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs
- ICLR 2026CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design
- ICLR 2026Combination-of-Experts with Knowledge Sharing for Cross-Task Vehicle Routing Problems
- ICLR 2026Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics
- ICLR 2026Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal Transport
- ICLR 2026Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
- ICLR 2026DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
- ICLR 2026Domain Expansion: A Latent Space Construction Framework for Multi-Task Learning
- ICLR 2026Dual Goal Representations
- ICLR 2026Dual-Branch Representations with Dynamic Gated Fusion and Triple-Granularity Alignment for Deep Multi-View Clustering
- ICLR 2026Emergent Coordination in Multi-Agent Language Models
- ICLR 2026Enhanced Continual Learning of Vision-Language Models with Model Fusion
- ICLR 2026Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning
- ICLR 2026EquAct: An SE(3)-Equivariant Multi-Task Transformer for 3D Robotic Manipulation
- ICLR 2026From Embedding to Control: Representations for Stochastic Multi-Object Systems
- ICLR 2026From Gradient Volume to Shapley Fairness: Towards Fair Multi-Task Learning
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 查多任务学习在 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-learning"}
常见问题
- 2023–2026 年四大会议一共有多少篇多任务学习论文?
- 共 1,181 篇,按年份分别是 2023 年 288 篇、2024 年 227 篇、2025 年 264 篇、2026 年 402 篇。
- NeurIPS 2026 有多少篇多任务学习论文?
- NeurIPS 2026 有 126 篇多任务学习论文,上一届是 101 篇。
- ICLR 2026 有多少篇多任务学习论文?
- ICLR 2026 有 57 篇多任务学习论文,上一届是 40 篇。
- ICML 2026 有多少篇多任务学习论文?
- ICML 2026 有 91 篇多任务学习论文,上一届是 47 篇。
- CVPR 2026 有多少篇多任务学习论文?
- CVPR 2026 有 128 篇多任务学习论文,上一届是 76 篇。
- 哪个会议的多任务学习论文最多?
- NeurIPS,2023–2026 年共 399 篇。