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

91 papers, page 1 of 2

1. ICML 2026A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
2. ICML 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotation
3. ICML 2026A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
4. ICML 2026A Unified Sparse Attention via Multi-Granularity Compression
5. ICML 2026Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
6. ICML 2026Alleviating Observation Bias via Causal-Invariant Meta-Learning for Unbalanced Incomplete Multi-view Clustering
7. ICML 2026Attention Implements the Fisher Geometry of Exponential Families
8. ICML 2026Being More Lightweight and Practical: Mini-sized Contrastive Learning Pre-trained Models for Fine-grained Traffic Task
9. ICML 2026Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
10. ICML 2026Breaking Multi-Task Curse: Reward-Weighted Evolution for Black-Box Many-Task Optimization
11. ICML 2026Causal Disentangled Anchor Learning for Scalable Fair Multi-view Clustering
12. ICML 2026CLIMB: Taming the LoRA Residency Cliff in Multi-LoRA Serving
13. ICML 2026Convergent World Representations and Divergent Tasks
14. ICML 2026CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
15. ICML 2026Cross-Tactile Sensor Representation Learning
16. ICML 2026CrossQ: Task-Aligned Cross-Token Conditional Quantization for Late Interaction Retrieval
17. ICML 2026Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks
18. ICML 2026Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging
19. ICML 2026DecodeShare: Tracing the Shared Subspace of LLM Decode-Time Decisions
20. ICML 2026Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning
21. ICML 2026Discretely-Refined Multi-view Clustering via Aligned Anchor Learning
22. ICML 2026Distilling Linearized Behavior into Non-linear Fine-Tuning for Effective Task Arithmetic
23. ICML 2026Distilling Task-Level Coordination Policies for Generalizable Multi-Agent Cooperation
24. ICML 2026DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs
25. ICML 2026Dual-Calibration Multi-View Clustering via Compact Anchor Learning
26. ICML 2026Efficient Training-Free Multi-Token Prediction via Embedding-Space Probing
27. ICML 2026Evaluating and Steering Modality Preferences in Multi-modal LLMs
28. ICML 2026FACT: Fuzzy Alignment with Comorbidity Topology for Reliable Multi-Label Medical Image Diagnosis
29. ICML 2026Factored Latent Action World Models
30. ICML 2026Feedback Control for Multi-Objective Graph Self-Supervision
31. ICML 2026FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data
32. ICML 2026Fine-Tune Once, Reuse Across Models: Bayesian Task-Update Factors and Approximations
33. ICML 2026From 2D Grids to 1D Tokens: Reforming Shared Representations for Multimodal Image Fusion
34. ICML 2026GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation
35. ICML 2026Geometric Pocket-Centric Protein Encoding for Polypharmacology-Guided Multi-Target Drug Design
36. ICML 2026Goal-Conditioned Agents that Learn Everything All at Once
37. ICML 2026Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
38. ICML 2026HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
39. ICML 2026Hierarchical Anchor Graph Learning for Multi-View Clustering
40. ICML 2026Hierarchical Representations for Cross-task Automated Heuristic Design using LLMs
41. ICML 2026HyMTRL: A Hybrid Multi-Task Reinforcement Learning Framework via Phased Policy Evolution
42. ICML 2026Hyperparameter Transfer Laws for Non-Recurrent Multi-Path Neural Networks
43. ICML 2026Incomplete Multi-View Clustering via Neighborhood-Conditioned Diffusion
44. ICML 2026Information-Theoretic Disentangled Latent Modeling with Conditional Diffusion for Incomplete Multi-View Clustering
45. ICML 2026Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks
46. ICML 2026Is Task-Specific Training Necessary for Anomaly Detection?
47. ICML 2026Landmark-Guided Policy Optimization for Multi-Objective Language Model Selection
48. ICML 2026Learn to Merge: Meta-Learning for Adaptive Multi-Task Model Merging
49. ICML 2026Learning Generalized Label Distributions
50. ICML 2026Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation

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.