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

76 papers, page 1 of 2

1. CVPR 20253D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
2. CVPR 20253D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
3. CVPR 2025A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering
4. CVPR 2025ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling
5. CVPR 2025AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
6. CVPR 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
7. CVPR 2025All-Day Multi-Camera Multi-Target Tracking
8. CVPR 2025AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
9. CVPR 2025ASHiTA: Automatic Scene-grounded HIerarchical Task Analysis
10. CVPR 2025Beyond Human Perception: Understanding Multi-Object World from Monocular View
11. CVPR 2025CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
12. CVPR 2025Compositional Targeted Multi-Label Universal Perturbations
13. CVPR 2025DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction
14. CVPR 2025Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
15. CVPR 2025Deep Fair Multi-View Clustering with Attention KAN
16. CVPR 2025Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
17. CVPR 2025DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
18. CVPR 2025Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
19. CVPR 2025EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering
20. CVPR 2025ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark
21. CVPR 2025EgoLM: Multi-Modal Language Model of Egocentric Motions
22. CVPR 2025Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations
23. CVPR 2025Enhanced then Progressive Fusion with View Graph for Multi-View Clustering
24. CVPR 2025Focusing on Tracks for Online Multi-Object Tracking
25. CVPR 2025Free Lunch Enhancements for Multi-modal Crowd Counting
26. CVPR 2025GeoMM: On Geodesic Perspective for Multi-modal Learning
27. CVPR 2025GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
28. CVPR 2025Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation
29. CVPR 2025Identifying and Mitigating Spurious Correlation in Multi-Task Learning
30. CVPR 2025IMFine: 3D Inpainting via Geometry-guided Multi-view Refinement
31. CVPR 2025Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction Tuning
32. CVPR 2025Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning
33. CVPR 2025KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities
34. CVPR 2025Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels
35. CVPR 2025Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes
36. CVPR 2025Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels
37. CVPR 2025Less is More: Efficient Model Merging with Binary Task Switch
38. CVPR 2025MangaNinja: Line Art Colorization with Precise Reference Following
39. CVPR 2025MIRE: Matched Implicit Neural Representations
40. CVPR 2025MLVU: Benchmarking Multi-task Long Video Understanding
41. CVPR 2025MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling
42. CVPR 2025MMRL: Multi-Modal Representation Learning for Vision-Language Models
43. CVPR 2025MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception
44. CVPR 2025MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes
45. CVPR 2025Mr. DETR: Instructive Multi-Route Training for Detection Transformers
46. CVPR 2025Multi-Group Proportional Representations for Text-to-Image Models
47. CVPR 2025Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets
48. CVPR 2025Multi-Modal Synergistic Implicit Image Enhancement for Efficient Optical Flow Estimation
49. CVPR 2025Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information
50. CVPR 2025Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation

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.