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

82 papers, page 2 of 2

51. CVPR 2023Multi-View Azimuth Stereo via Tangent Space Consistency
52. CVPR 2023Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF)
53. CVPR 2023MVImgNet: A Large-Scale Dataset of Multi-View Images
54. CVPR 2023NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images
55. CVPR 2023NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images
56. CVPR 2023Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views
57. CVPR 2023NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation
58. CVPR 2023OmniVidar: Omnidirectional Depth Estimation From Multi-Fisheye Images
59. CVPR 2023Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
60. CVPR 2023PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices
61. CVPR 2023PersonNeRF: Personalized Reconstruction From Photo Collections
62. CVPR 2023POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo
63. CVPR 2023Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks
64. CVPR 2023Quantum Multi-Model Fitting
65. CVPR 2023Referring Multi-Object Tracking
66. CVPR 2023Siamese DETR
67. CVPR 2023Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks
68. CVPR 2023Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images
69. CVPR 2023Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
70. CVPR 2023Task Residual for Tuning Vision-Language Models
71. CVPR 2023TINC: Tree-Structured Implicit Neural Compression
72. CVPR 2023TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition
73. CVPR 2023Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View
74. CVPR 2023Towards Flexible Multi-Modal Document Models
75. CVPR 2023Tunable Convolutions With Parametric Multi-Loss Optimization
76. CVPR 2023Two-Way Multi-Label Loss
77. CVPR 2023Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
78. CVPR 2023Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection
79. CVPR 2023Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
80. CVPR 2023Visual Prompt Multi-Modal Tracking
81. CVPR 2023Why Is the Winner the Best?
82. CVPR 2023WIRE: Wavelet Implicit Neural Representations

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.