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

171 papers, page 3 of 4

101. ICLR 2024Class Incremental Learning via Likelihood Ratio Based Task Prediction
102. ICLR 2024CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
103. ICLR 2024Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
104. ICLR 2024Controlling Vision-Language Models for Multi-Task Image Restoration
105. ICLR 2024Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
106. ICLR 2024Denoising Task Routing for Diffusion Models
107. ICLR 2024Diffusion Models for Multi-Task Generative Modeling
108. ICLR 2024Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
109. ICLR 2024DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
110. ICLR 2024Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
111. ICLR 2024From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
112. ICLR 2024GenSim: Generating Robotic Simulation Tasks via Large Language Models
113. ICLR 2024Hybrid Sharing for Multi-Label Image Classification
114. ICLR 2024MAP IT to Visualize Representations
115. ICLR 2024MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
116. ICLR 2024Multi-Scale Representations by Varying Window Attention for Semantic Segmentation
117. ICLR 2024Multi-task Learning with 3D-Aware Regularization
118. ICLR 2024Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
119. ICLR 2024Multi-View Causal Representation Learning with Partial Observability
120. ICLR 2024Multi-View Representation is What You Need for Point-Cloud Pre-Training
121. ICLR 2024MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
122. ICLR 2024Object-Centric Learning with Slot Mixture Module
123. ICLR 2024Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
124. ICLR 2024Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
125. ICLR 2024Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
126. ICLR 2024Robot Fleet Learning via Policy Merging
127. ICLR 2024Task structure and nonlinearity jointly determine learned representational geometry
128. ICLR 2024Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
129. ICLR 2023An Additive Instance-Wise Approach to Multi-class Model Interpretation
130. ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
131. ICLR 2023BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
132. ICLR 2023Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
133. ICLR 2023Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
134. ICLR 2023Compositional Task Representations for Large Language Models
135. ICLR 2023Deep Learning on Implicit Neural Representations of Shapes
136. ICLR 2023Editing models with task arithmetic
137. ICLR 2023Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
138. ICLR 2023Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
139. ICLR 2023Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
140. ICLR 2023Evaluating Representations with Readout Model Switching
141. ICLR 2023Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
142. ICLR 2023f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
143. ICLR 2023HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
144. ICLR 2023How to prepare your task head for finetuning
145. ICLR 2023HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
146. ICLR 2023Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
147. ICLR 2023Is a Caption Worth a Thousand Images? A Study on Representation Learning
148. ICLR 2023Learning Proximal Operators to Discover Multiple Optima
149. ICLR 2023Learning topology-preserving data representations
150. ICLR 2023Mitigating Memorization of Noisy Labels via Regularization between 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.