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 24 of 24

1151. NeurIPS 2023Optimistic Rates for Multi-Task Representation Learning
1152. NeurIPS 2023Partial Multi-Label Learning with Probabilistic Graphical Disambiguation
1153. NeurIPS 2023Pengi: An Audio Language Model for Audio Tasks
1154. NeurIPS 2023Prediction and Control in Continual Reinforcement Learning
1155. NeurIPS 2023ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
1156. NeurIPS 2023RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
1157. NeurIPS 2023Real-World Image Super-Resolution as Multi-Task Learning
1158. NeurIPS 2023Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
1159. NeurIPS 2023Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
1160. NeurIPS 2023Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
1161. NeurIPS 2023RoboHive: A Unified Framework for Robot Learning
1162. NeurIPS 2023Robust Concept Erasure via Kernelized Rate-Distortion Maximization
1163. NeurIPS 2023Scalarization for Multi-Task and Multi-Domain Learning at Scale
1164. NeurIPS 2023Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
1165. NeurIPS 2023SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
1166. NeurIPS 2023SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
1167. NeurIPS 2023STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection
1168. NeurIPS 2023Task-aware Distributed Source Coding under Dynamic Bandwidth
1169. NeurIPS 2023Task-Robust Pre-Training for Worst-Case Downstream Adaptation
1170. NeurIPS 2023TaskMet: Task-driven Metric Learning for Model Learning
1171. NeurIPS 2023The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation
1172. NeurIPS 2023TOA: Task-oriented Active VQA
1173. NeurIPS 2023Towards a Unified Framework of Contrastive Learning for Disentangled Representations
1174. NeurIPS 2023Tuning Multi-mode Token-level Prompt Alignment across Modalities
1175. NeurIPS 2023Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach
1176. NeurIPS 2023Unpaired Multi-Domain Causal Representation Learning
1177. NeurIPS 2023Video-Mined Task Graphs for Keystep Recognition in Instructional Videos
1178. NeurIPS 2023Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
1179. NeurIPS 2023VoxDet: Voxel Learning for Novel Instance Detection
1180. NeurIPS 2023Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
1181. NeurIPS 2023When Can We Track Significant Preference Shifts in Dueling Bandits?

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.