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

1,181 papers, page 2 of 24

51. CVPR 2026Learning Compact 3D Representations from Feed-Forward Novel View Synthesis
52. CVPR 2026Learning Multi-View Spatial Reasoning from Cross-View Relations
53. CVPR 2026Learning to Infer Parameterized Representations of Plants from 3D Scans
54. CVPR 2026Learning to See and Act Task-Aware Virtual View Exploration for
55. CVPR 2026Learning to Solve PDEs on Neural Shape Representations
56. CVPR 2026Let Your Image Move with Your Motion -- Implicit Multi-Object
57. CVPR 2026LUMINA A Multi-Vendor Mammography Benchmark with Energy Harmonization Protocol
58. CVPR 2026M4-SAM Multi-Modal Mixture-of-Experts with Memory-Augmented SAM for RGB-D Video Salient
59. CVPR 2026Mamba Learns in Context Structure-Aware Domain Generalization for Multi-Task Point
60. CVPR 2026MAMMA Markerless Accurate Multi-person Motion Acquisition
61. CVPR 2026MapReduce LoRA Advancing the Pareto Front in Multi-Preference Optimization for
62. CVPR 2026MCHDoc A Comprehensive Benchmark for Reading Multi-Carrier Chinese Historical Documents
63. CVPR 2026MER-Tracker Towards High-Speed 3D Point Tracking via Multi-View Event-RGB Hybrid
64. CVPR 2026MFEN Multi-Frequency Expert Network for Visible-Infrared Person Re-ID
65. CVPR 2026MMGait Towards Multi-Modal Gait Recognition
66. CVPR 2026Model Merging in the Essential Subspace
67. CVPR 2026ModularAgent A Task-Aware Modular Framework for Joint Optimization of Multimodal
68. CVPR 2026MS-Temba Multi-Scale Temporal Mamba for Understanding Long Untrimmed Videos
69. CVPR 2026MSGNav Unleashing the Power of Multi-modal 3D Scene Graph for
70. CVPR 2026MuCo Multi-turn Contrastive Learning for Multimodal Embedding Model
71. CVPR 2026MUFASA A Multi-Layer Framework for Slot Attention
72. CVPR 2026Multi-Hierarchical Contrastive Spectral Fusion for Multi-View Clustering
73. CVPR 2026Multi-Metric Representation Learning Strategy Based on Clustering for Fine-Grained Multimodal
74. CVPR 2026Multi-modal Frequency Decomposition Network for Semantic Scene Completion
75. CVPR 2026Multi-Modal Representation Learning via Semi-Supervised Rate Reduction for Generalized Category
76. CVPR 2026Multi-Paradigm Collaborative Adversarial Attack Against Multi-Modal Large Language Models
77. CVPR 2026Multi-SpatialMLLM Multi-Frame Spatial Understanding with Multi-Modal Large Language Models
78. CVPR 2026Multi-view Crowd Tracking Transformer with View-Ground Interactions Under Large Real-World
79. CVPR 2026Multi-View Hierarchical Alignment Learning for Spatial Transcriptomics
80. CVPR 2026Multi-view Pyramid Transformer Look Coarser to See Broader
81. CVPR 2026Multinex Lightweight Low-light Image Enhancement via Multi-prior Retinex
82. CVPR 2026MuViT Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy
83. CVPR 2026MV-RoMa From Pairwise Matching into Multi-View Track Reconstruction
84. CVPR 2026MV-TAP Tracking Any Point in Multi-View Videos
85. CVPR 2026Narrative Weaver Towards Controllable Long-Range Visual Consistency with Multi-Modal Conditioning
86. CVPR 2026Neural-Centric Video Processing Pipeline for Unified Multi-Task Inference
87. CVPR 2026NexusFlow Unifying Disparate Tasks under Partial Supervision via Invertible Flow
88. CVPR 2026NimbusGS Unified 3D Scene Reconstruction under Hybrid Weather
89. CVPR 2026Omni-3DEdit Generalized Versatile 3D Editing in One-Pass
90. CVPR 2026Open-Ended Instruction Realization with LLM-Enabled Multi-Planner Scheduling in Autonomous Vehicles
91. CVPR 2026OptiMVMap Offline Vectorized Map Construction via Optimal Multi-vehicle Perspectives
92. CVPR 2026Orthogonal Spatial-Aware Multi-View Anchor Graph Clustering for Incomplete Remote Sensing
93. CVPR 2026Plug-and-Play Incomplete Multi-View Clustering via Janus-Faced Affinity Learning with Topology
94. CVPR 2026Predicting Spatial Transcriptomics from Histology Images via High-Order Multi-Cell Interaction
95. CVPR 2026PRISM Learning a Shared Primitive Space for Transferable Skeleton Action
96. CVPR 2026Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning
97. CVPR 2026QuCNet Quantum Deep Learning Driven Multi-Circuit Network for Remote Sensing
98. CVPR 2026R2G A Multi-View Circuit Graph Benchmark Suite from RTL to
99. CVPR 2026Reliable Clustering Number Estimation for Contrastive Multi-View Clustering
100. CVPR 2026Reparameterized Tensor Ring Functional Decomposition for Multi-Dimensional Data Recovery

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.