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 8 / 24 页
- NeurIPS 2026MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing
- NeurIPS 2026Multi-agent Collaboration with State Management
- NeurIPS 2026Multi-Agent Coordination via Support-Preserving Distillation
- NeurIPS 2026Multi-Constrained Randomized Smoothing Certificates
- NeurIPS 2026Multi-Environment POMDPs with Finite-Horizon Objectives
- NeurIPS 2026Multi-Level Alignment Framework for Long-Term Olfactory Neural Decoding
- NeurIPS 2026Multi-Part Object Representations via Graph Structures and Co-Part Discovery
- NeurIPS 2026Multi-Turn RL Makes Small Language Model Competitive for Optimization Modeling
- NeurIPS 2026MUSS: A Multi-scale and Sequence-based Model for Single-cell Gene Regulation
- NeurIPS 2026MvFFN: Multi-view Floor-Plan Feed-Forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction
- NeurIPS 2026Narrowing the Collaboration Gap, Probably
- NeurIPS 2026Near-Optimal Learning in Parametric Bandits with Action-Dependent Coarsened Feedback
- NeurIPS 2026Noise-Level KL Rates for Multi-Marginal Schrödinger Bridge Surrogates
- NeurIPS 2026OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
- NeurIPS 2026ORCA: Orthogonal Residual Consensus Alignment for Multi-View Clustering
- NeurIPS 2026OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism
- NeurIPS 2026Permutation Sensitivity in t-SVD-based Multi-view Clustering
- NeurIPS 2026PGSB: Pretrained-Guided Shared Basis for LoRA Model Merging
- NeurIPS 2026Physical AI Smart Spaces: A Large-Scale Benchmark for Multi-Camera 3D Perception in Smart Spaces
- NeurIPS 2026Platonic Task Arithmetic
- NeurIPS 2026Position: Fair Representations Cannot Hold What They Promise
- NeurIPS 2026Position: Lottery Tickets Do Not Explain Overparameterization. How About Escape Dimensions?
- NeurIPS 2026ProbMedTOD: A Bayesian Network Guided Task-Oriented Dialogue System for Patient History Taking
- NeurIPS 2026RAMA: Resistance-Aware Multi-Hop Aggregation Graph Representation Learning for Robust Ethereum Account Classification
- NeurIPS 2026Releasing Anchors from Cross-View Correspondence: Probabilistic Multi-View Anchor Graph Clustering
- NeurIPS 2026ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models
- NeurIPS 2026S²MoE: Shared-Subspace Mixture of Sparse Experts
- NeurIPS 2026SCION: Scene Composition via Instanced Neural Primitives
- NeurIPS 2026SelfGuard: Self-Supervised Deviation Modeling for Multi-Modal Jailbreak Detection
- NeurIPS 2026Sequence-to-Sequence Modeling with Camera-Induced Priors for Multi-View Stereo
- NeurIPS 2026Serialization Tax in Shared-Latent Exchangeable Decisions
- NeurIPS 2026SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization
- NeurIPS 2026SpanFormer: Multi-Level Adaptive Sparsity for Object Detection in High-Resolution Wide Shots
- NeurIPS 2026SpecBridge: Learning Natural-Language Formalization Plans for the Formal Specification Synthesis Task
- NeurIPS 2026SpecHop: Continuous Speculation for Accelerating Multi-Hop Retrieval Agents
- NeurIPS 2026Spectral Alignment in Forward–Backward Representations via Temporal Abstraction
- NeurIPS 2026Spectral Insights from the Unconstrained Feature Model for Neural Multi-Output Regression
- NeurIPS 2026Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation
- NeurIPS 2026Structurally Separated DAG Learning with Multi-Scale Normalized Closure
- NeurIPS 2026Sustainability in the Loop: AI Model Development Should Be Multi-Objective
- NeurIPS 2026SyncLight: Single-Edit Multi-View Relighting
- NeurIPS 2026TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability
- NeurIPS 2026The Alignment Illusion in Multimodal Large Language Models
- NeurIPS 2026The Ringelmann Effect in Multi-Agent LLM Systems: A Scaling Law for Effective Team Size
- NeurIPS 2026TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing
- NeurIPS 2026TraceGuard: Defending Multi-Turn Jailbreak Attacks via Prompt-Response Risk Signal Tracking
- NeurIPS 2026UniReFP: Robust Unified Fingerprinting for Vision Models against Cross-Task Repurposing Attacks
- NeurIPS 2026ViewSAM: Learning View-aware Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking
- NeurIPS 2026Virtual Task Prompting for Multi-Task Scene Understanding
- NeurIPS 2026When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction
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。