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

128 papers, page 3 of 3

101. CVPR 2026Rethinking Position Embedding as a Context Controller for Multi-Reference and
102. CVPR 2026Scalable Multi-View Subspace Clustering with Tensorized Anchor Guidance
103. CVPR 2026ShreddingNet Coarse-to-Fine Restoration for Multi-Source Shredded Manuscripts
104. CVPR 2026SigLino Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models
105. CVPR 2026Skullptor High Fidelity 3D Head Reconstruction in Seconds with Multi-View
106. CVPR 2026Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer
107. CVPR 2026SPE-MVS Spatial Position Encoding Enhanced Multi-View Stereo with Monocular Depth
108. CVPR 2026Spectrally Distilled Representations Aligned with Instruction-Augmented LLMs for Satellite Imagery
109. CVPR 2026StableMTL Repurposing Latent Diffusion Models for Multi-Task Learning from Partially
110. CVPR 2026Stay in your Lane Role Specific Queries with Overlap Suppression
111. CVPR 2026Task-Aware Image Signal Processor for Advanced Visual Perception
112. CVPR 2026Task-Driven Implicit Representations for Automated Design of LiDAR Systems
113. CVPR 2026TaskIT Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer
114. CVPR 2026TempR1 Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement
115. CVPR 2026Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing
116. CVPR 2026Test-Time Multi-Prompt Adaptation for Open-Vocabulary Remote Sensing Image Segmentation
117. CVPR 2026Toward Generalizable Whole Brain Representations with High-Resolution Light-Sheet Data
118. CVPR 2026Tri-Subspaces Disentanglement for Multimodal Sentiment Analysis
119. CVPR 2026TSTM Temporal Segmentation for Task-relevant Mask in Visual Reinforcement Learning
120. CVPR 2026Unique Lives Shared World Learning from Single-Life Videos
121. CVPR 2026UnityVideo Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation
122. CVPR 2026UniVerse A Unified Modulation Framework for Segmentation-Free Disentangled Multi-Concept Personalization
123. CVPR 2026URScenes A Multi-scenario Dataset for Unstructured Road Environments
124. CVPR 2026V2-SAM Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
125. CVPR 2026Virtual Immunohistochemistry Staining with Dual-Aligned Multi-Task Feature Guidance
126. CVPR 2026Wan-Weaver Interleaved Multi-modal Generation via Decoupled Training
127. CVPR 2026WeatherCity Urban Scene Reconstruction with Controllable Multi-Weather Transformation
128. CVPR 2026WHU-MARS A Multispectral Aerial-Ground Benchmark Towards Any-Scenario Person Re-Identification

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.