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

264 papers, page 3 of 6

101. ICLR 2025Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection
102. ICLR 2025Multi-session, multi-task neural decoding from distinct cell-types and brain regions
103. ICLR 2025Multi-Task Dense Predictions via Unleashing the Power of Diffusion
104. ICLR 2025NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
105. ICLR 2025Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
106. ICLR 2025Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
107. ICLR 2025Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
108. ICLR 2025REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS
109. ICLR 2025Selective Task Group Updates for Multi-Task Optimization
110. ICLR 2025SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
111. ICLR 2025STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
112. ICLR 2025Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
113. ICLR 2025Task Descriptors Help Transformers Learn Linear Models In-Context
114. ICLR 2025Towards Optimal Multi-draft Speculative Decoding
115. ICLR 2025When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
116. ICLR 2025Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression
117. ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
118. ICML 2025A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
119. ICML 2025A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
120. ICML 2025A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making
121. ICML 2025A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
122. ICML 2025Active Fine-Tuning of Multi-Task Policies
123. ICML 2025Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
124. ICML 2025ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning
125. ICML 2025ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
126. ICML 2025Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
127. ICML 2025Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
128. ICML 2025CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
129. ICML 2025CALM: Consensus-Aware Localized Merging for Multi-Task Learning
130. ICML 2025CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
131. ICML 2025Deep Fuzzy Multi-view Learning for Reliable Classification
132. ICML 2025Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning
133. ICML 2025Efficient Federated Incomplete Multi-View Clustering
134. ICML 2025Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
135. ICML 2025FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
136. ICML 2025Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
137. ICML 2025FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
138. ICML 2025From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
139. ICML 2025From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
140. ICML 2025Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
141. ICML 2025Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
142. ICML 2025Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
143. ICML 2025Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification
144. ICML 2025Learning Fused State Representations for Control from Multi-View Observations
145. ICML 2025Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
146. ICML 2025Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
147. ICML 2025MTL-UE: Learning to Learn Nothing for Multi-Task Learning
148. ICML 2025Multi-Session Budget Optimization for Forward Auction-based Federated Learning
149. ICML 2025Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
150. ICML 2025On the Adversarial Robustness of Multi-Kernel Clustering

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.