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

227 papers, page 1 of 5

1. CVPR 20242S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view Images
2. CVPR 2024A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
3. CVPR 2024Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes
4. CVPR 2024AssistGUI: Task-Oriented PC Graphical User Interface Automation
5. CVPR 2024Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
6. CVPR 2024Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
7. CVPR 2024Binding Touch to Everything: Learning Unified Multimodal Tactile Representations
8. CVPR 2024Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
9. CVPR 2024Category-Level Multi-Part Multi-Joint 3D Shape Assembly
10. CVPR 2024Class Incremental Learning with Multi-Teacher Distillation
11. CVPR 2024CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow
12. CVPR 2024Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment
13. CVPR 2024CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing
14. CVPR 2024Differentiable Information Bottleneck for Deterministic Multi-view Clustering
15. CVPR 2024DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
16. CVPR 2024DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
17. CVPR 2024Dual DETRs for Multi-Label Temporal Action Detection
18. CVPR 2024EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI
19. CVPR 2024Event-based Visible and Infrared Fusion via Multi-task Collaboration
20. CVPR 2024FedHCA2: Towards Hetero-Client Federated Multi-Task Learning
21. CVPR 2024Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
22. CVPR 2024GALA: Generating Animatable Layered Assets from a Single Scan
23. CVPR 2024Generative Multi-modal Models are Good Class Incremental Learners
24. CVPR 2024GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds
25. CVPR 2024Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models
26. CVPR 2024GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
27. CVPR 2024Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
28. CVPR 2024Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models
29. CVPR 2024Improving Bird's Eye View Semantic Segmentation by Task Decomposition
30. CVPR 2024Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions
31. CVPR 2024Joint-Task Regularization for Partially Labeled Multi-Task Learning
32. CVPR 2024Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering
33. CVPR 2024M&M VTO: Multi-Garment Virtual Try-On and Editing
34. CVPR 2024Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification
35. CVPR 2024Mask4Align: Aligned Entity Prompting with Color Masks for Multi-Entity Localization Problems
36. CVPR 2024Masked AutoDecoder is Effective Multi-Task Vision Generalist
37. CVPR 2024MMA: Multi-Modal Adapter for Vision-Language Models
38. CVPR 2024MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
39. CVPR 2024Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention
40. CVPR 2024MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception
41. CVPR 2024mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
42. CVPR 2024MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning
43. CVPR 2024MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
44. CVPR 2024Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
45. CVPR 2024Multi-modal Learning for Geospatial Vegetation Forecasting
46. CVPR 2024Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning
47. CVPR 2024Multi-Space Alignments Towards Universal LiDAR Segmentation
48. CVPR 2024MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
49. CVPR 2024MVCPS-NeuS: Multi-view Constrained Photometric Stereo for Neural Surface Reconstruction
50. CVPR 2024NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis

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.