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

363 papers, page 1 of 8

1. CVPR 20263D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding
2. CVPR 20263D-Object Perception Transformer 3PT
3. CVPR 2026A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection
4. CVPR 2026A Supervised Multi-task Framework for Joint cryo-ET Restoration Enabled by
5. CVPR 2026Adaptive Anisotropic Gaussian Splatting for Multi-contrast MRI Arbitrary-Scale Super-Resolution with
6. CVPR 2026ALLNet Multi-task Dense Prediction for Degraded Images
7. CVPR 2026Anti-Degradation Lifelong Multi-View Clustering
8. CVPR 2026Any Resolution Any Geometry From Multi-View To Multi-Patch
9. CVPR 2026AURA Multi-modal Shared Autonomy for Urban Navigation
10. CVPR 2026Beyond Whats Shared Recovering Lost Unique Information from Intermediate Layers
11. CVPR 2026Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class
12. CVPR 2026Block-Sparse Global Attention for Efficient Multi-View Geometry Transformers
13. CVPR 2026Bootstrapping Multi-view Learning for Test-time Noisy Correspondence
14. CVPR 2026Breaking the Scalability Limit of Multi-Projector Calibration with Embedded Cameras
15. CVPR 2026BrepGaussian CAD reconstruction from Multi-View Images with Gaussian Splatting
16. CVPR 2026Bridging Domains through Subspace-Aware Model Merging
17. CVPR 2026BriMA Bridged Modality Adaptation for Multi-Modal Continual Action Quality Assessment
18. CVPR 2026Bulk RNA-seq Guided Multi-modal Detection of Anomalous Regions in Human
19. CVPR 2026Chorus Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding
20. CVPR 2026CineBrain A Large-Scale Multi-Modal Audiovisual Brain Dataset for Brain-Conditioned Video
21. CVPR 2026CoIn3D Revisiting Configuration-Invariant Multi-Camera 3D Object Detection
22. CVPR 2026Content-Aware Frequency Encoding for Implicit Neural Representations with Fourier-Chebyshev Features
23. CVPR 2026CURE Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation
24. CVPR 2026Customized Fusion A Closed-Loop Dynamic Network for Adaptive Multi-Task-Aware Infrared-Visible
25. CVPR 2026CustomTex High-fidelity Indoor Scene Texturing via Multi-Reference Customization
26. CVPR 2026DC-Merge Improving Model Merging with Directional Consistency
27. CVPR 2026Deciphering Genotype-Phenotype Mechanisms from High-Content Profiling via Knowledge-Guided Multi-modal Graph
28. CVPR 2026DF2-VB Dual-level Fuzzy Fusion with View-specific Boosting for Multi-view Multi-label
29. CVPR 2026Discovering Adaptive Task Dependencies for Efficient Multi-Task Representation Compression
30. CVPR 2026Dual-level Adaptation for Multi-Object Tracking Building Test-Time Calibration from Experience
31. CVPR 2026Dual-Prototype-Guided Multi-task Learning for Unsupervised Anomaly Detection and Classification
32. CVPR 2026DuetMerging Synergizing Dynamic and Static Strategies for Mitigating Task Interference
33. CVPR 2026EcoSplat Efficiency-controllable Feed-forward 3D Gaussian Splatting from Multi-view Images
34. CVPR 2026EfficientMonoHair Fast Strand-Level Reconstruction from Monocular Video via Multi-View Direction
35. CVPR 2026Event-Based Motion Deblurring Using Task-Oriented 3D Gaussian Event Representations
36. CVPR 2026EXOTIC External Vision-driven Incomplete Multi-view Classification
37. CVPR 2026FAAR Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection
38. CVPR 2026FloVerse Floor Plan-Guided Multi-Modal Navigation
39. CVPR 2026Frequency Switching Mechanism for Parameter-Efficient Multi-Task Learning
40. CVPR 2026From Detection to Association Learning Discriminative Object Embeddings for Multi-Object
41. CVPR 2026Garments2Look A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with
42. CVPR 2026GDFA Geometry-Driven Federated Unlearning with Directional Task Vector Alignment
43. CVPR 2026GeoSANE Learning Geospatial Representations from Models Not Data
44. CVPR 2026GMT Effective Global Framework for Multi-Camera Multi-Target Tracking
45. CVPR 2026Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning
46. CVPR 2026Is the Modality Gap a Bug or a Feature A
47. CVPR 2026Keep It Frozen Domain-Routed Conditional Residual Modulation for Multi-Domain Vision
48. CVPR 2026LaRP Efficient Multi-View Inpainting with Latent Reprojection Priors
49. CVPR 2026Learning 3D Representations for Spatial Intelligence from Unposed Multi-View Images
50. CVPR 2026Learning Anchor in Dual Orthogonal Space for Fast Multi-view Clustering

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.