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

248 papers, page 3 of 5

101. ICML 2025Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
102. ICML 2025Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
103. ICML 2025CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
104. ICML 2025CALM: Consensus-Aware Localized Merging for Multi-Task Learning
105. ICML 2025CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
106. ICML 2025Deep Fuzzy Multi-view Learning for Reliable Classification
107. ICML 2025Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning
108. ICML 2025Efficient Federated Incomplete Multi-View Clustering
109. ICML 2025Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
110. ICML 2025FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
111. ICML 2025Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
112. ICML 2025FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
113. ICML 2025From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
114. ICML 2025From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
115. ICML 2025Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
116. ICML 2025Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
117. ICML 2025Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
118. ICML 2025Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification
119. ICML 2025Learning Fused State Representations for Control from Multi-View Observations
120. ICML 2025Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
121. ICML 2025Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
122. ICML 2025MTL-UE: Learning to Learn Nothing for Multi-Task Learning
123. ICML 2025Multi-Session Budget Optimization for Forward Auction-based Federated Learning
124. ICML 2025Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
125. ICML 2025On the Adversarial Robustness of Multi-Kernel Clustering
126. ICML 2025Optimizing Temperature for Language Models with Multi-Sample Inference
127. ICML 2025Private Model Personalization Revisited
128. ICML 2025PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
129. ICML 2025Provable In-Context Vector Arithmetic via Retrieving Task Concepts
130. ICML 2025Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering
131. ICML 2025SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
132. ICML 2025SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
133. ICML 2025Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion
134. ICML 2025Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods
135. ICML 2025Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
136. ICML 2025Vision-Language Models Create Cross-Modal Task Representations
137. ICML 2025When can in-context learning generalize out of task distribution?
138. ICML 2025Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
139. ICML 2024A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
140. ICML 2024A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
141. ICML 2024Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
142. ICML 2024Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
143. ICML 2024Better & Faster Large Language Models via Multi-token Prediction
144. ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
145. ICML 2024Calibration Bottleneck: Over-compressed Representations are Less Calibratable
146. ICML 2024Contrasting Multiple Representations with the Multi-Marginal Matching Gap
147. ICML 2024DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
148. ICML 2024Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
149. ICML 2024DMTG: One-Shot Differentiable Multi-Task Grouping
150. ICML 2024Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems

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.