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 23 of 24

1101. NeurIPS 2023Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
1102. NeurIPS 2023Elastic Decision Transformer
1103. NeurIPS 2023Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
1104. NeurIPS 2023Episodic Multi-Task Learning with Heterogeneous Neural Processes
1105. NeurIPS 2023Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
1106. NeurIPS 2023Federated Multi-Objective Learning
1107. NeurIPS 2023FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
1108. NeurIPS 2023ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
1109. NeurIPS 2023Generalized test utilities for long-tail performance in extreme multi-label classification
1110. NeurIPS 2023Geodesic Multi-Modal Mixup for Robust Fine-Tuning
1111. NeurIPS 2023Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning
1112. NeurIPS 2023Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
1113. NeurIPS 2023HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
1114. NeurIPS 2023ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
1115. NeurIPS 2023Joint Data-Task Generation for Auxiliary Learning
1116. NeurIPS 2023Learning and Collusion in Multi-unit Auctions
1117. NeurIPS 2023Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
1118. NeurIPS 2023Learning Human Action Recognition Representations Without Real Humans
1119. NeurIPS 2023Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
1120. NeurIPS 2023Learning Shared Safety Constraints from Multi-task Demonstrations
1121. NeurIPS 2023Learning to Modulate pre-trained Models in RL
1122. NeurIPS 2023Learning to Taste: A Multimodal Wine Dataset
1123. NeurIPS 2023Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
1124. NeurIPS 2023Leveraging sparse and shared feature activations for disentangled representation learning
1125. NeurIPS 2023Locality-Aware Generalizable Implicit Neural Representation
1126. NeurIPS 2023Loss Decoupling for Task-Agnostic Continual Learning
1127. NeurIPS 2023M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark
1128. NeurIPS 2023Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning
1129. NeurIPS 2023Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
1130. NeurIPS 2023Meta-Learning Adversarial Bandit Algorithms
1131. NeurIPS 2023Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
1132. NeurIPS 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
1133. NeurIPS 2023Multi-Agent Learning with Heterogeneous Linear Contextual Bandits
1134. NeurIPS 2023Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
1135. NeurIPS 2023Multi-Fidelity Multi-Armed Bandits Revisited
1136. NeurIPS 2023Multi-Head Adapter Routing for Cross-Task Generalization
1137. NeurIPS 2023Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization
1138. NeurIPS 2023Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems
1139. NeurIPS 2023Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
1140. NeurIPS 2023Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
1141. NeurIPS 2023Multi-Step Generalized Policy Improvement by Leveraging Approximate Models
1142. NeurIPS 2023Multi-Swap k-Means++
1143. NeurIPS 2023Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
1144. NeurIPS 2023Multi-task learning with summary statistics
1145. NeurIPS 2023Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
1146. NeurIPS 2023MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks
1147. NeurIPS 2023Mutual-Information Regularized Multi-Agent Policy Iteration
1148. NeurIPS 2023Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
1149. NeurIPS 2023Nonparametric Identifiability of Causal Representations from Unknown Interventions
1150. NeurIPS 2023Online Pricing for Multi-User Multi-Item Markets

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.