Multi-Task Learning papers, 2023–2026

Key findings

• Multi-Task Learning went from 288 papers in 2023 to 402 in 2026, roughly 1.4x in three years.
• NeurIPS publishes the most Multi-Task Learning work: 399 papers from 2023 to 2026, 34% of the four-venue total.
• The fastest-growing overlap is with Datasets and Benchmarks: papers tagged with both rose from 6 in 2023 to 16 in 2026.
• Among the 5 topics under Meta-Learning and Transfer, it ranks #2 by 2026 paper count; the fastest grower in the group, Foundation Model Adaptation, is up 3.8x versus 1.4x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Multi-Task Learning papers

227 papers, page 2 of 5

51. CVPR 2024OAKINK2: A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion
52. CVPR 2024Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi
53. CVPR 2024Prompt Highlighter: Interactive Control for Multi-Modal LLMs
54. CVPR 2024Quantifying Task Priority for Multi-Task Optimization
55. CVPR 2024Region-Based Representations Revisited
56. CVPR 2024Rethinking Multi-view Representation Learning via Distilled Disentangling
57. CVPR 2024Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
58. CVPR 2024Sharingan: A Transformer Architecture for Multi-Person Gaze Following
59. CVPR 2024SketchINR: A First Look into Sketches as Implicit Neural Representations
60. CVPR 2024SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
61. CVPR 2024SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
62. CVPR 2024StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
63. CVPR 2024TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
64. CVPR 2024Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
65. CVPR 2024Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
66. CVPR 2024Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
67. CVPR 2024Task-Customized Mixture of Adapters for General Image Fusion
68. CVPR 2024Task-Driven Wavelets using Constrained Empirical Risk Minimization
69. CVPR 2024Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
70. CVPR 2024Towards Calibrated Multi-label Deep Neural Networks
71. CVPR 2024Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
72. CVPR 2024Towards Progressive Multi-Frequency Representation for Image Warping
73. CVPR 2024Training-Free Pretrained Model Merging
74. CVPR 2024TULIP: Multi-camera 3D Precision Assessment of Parkinson's Disease
75. CVPR 2024Unsupervised Gaze Representation Learning from Multi-view Face Images
76. CVPR 2024Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
77. CVPR 2024YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
78. ICLR 2024AdaMerging: Adaptive Model Merging for Multi-Task Learning
79. ICLR 2024Augmenting Transformers with Recursively Composed Multi-grained Representations
80. ICLR 2024Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
81. ICLR 2024Class Incremental Learning via Likelihood Ratio Based Task Prediction
82. ICLR 2024CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
83. ICLR 2024Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
84. ICLR 2024Controlling Vision-Language Models for Multi-Task Image Restoration
85. ICLR 2024Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
86. ICLR 2024Denoising Task Routing for Diffusion Models
87. ICLR 2024Diffusion Models for Multi-Task Generative Modeling
88. ICLR 2024Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
89. ICLR 2024DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
90. ICLR 2024Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
91. ICLR 2024From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
92. ICLR 2024GenSim: Generating Robotic Simulation Tasks via Large Language Models
93. ICLR 2024Hybrid Sharing for Multi-Label Image Classification
94. ICLR 2024MAP IT to Visualize Representations
95. ICLR 2024MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
96. ICLR 2024Multi-Scale Representations by Varying Window Attention for Semantic Segmentation
97. ICLR 2024Multi-task Learning with 3D-Aware Regularization
98. ICLR 2024Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
99. ICLR 2024Multi-View Causal Representation Learning with Partial Observability
100. ICLR 2024Multi-View Representation is What You Need for Point-Cloud Pre-Training

FAQ

How many Multi-Task Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,181 in total: 288 in 2023, 227 in 2024, 264 in 2025, 402 in 2026.

How many Multi-Task Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 126 Multi-Task Learning papers, versus 101 the year before.

How many Multi-Task Learning papers are at ICLR 2026?

ICLR 2026 has 57 Multi-Task Learning papers, versus 40 the year before.

How many Multi-Task Learning papers are at ICML 2026?

ICML 2026 has 91 Multi-Task Learning papers, versus 47 the year before.

How many Multi-Task Learning papers are at CVPR 2026?

CVPR 2026 has 128 Multi-Task Learning papers, versus 76 the year before.

Which conference publishes the most Multi-Task Learning papers?

NeurIPS, with 399 papers from 2023 to 2026.