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 4 of 24

151. ICLR 2026G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation
152. ICLR 2026GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception
153. ICLR 2026Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
154. ICLR 2026GUIDE: Gated Uncertainty-Informed Disentangled Experts for Long-tailed Recognition
155. ICLR 2026Hierarchical Multi-Scale Molecular Conformer Generation with Structural Awareness
156. ICLR 2026Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing
157. ICLR 2026Incomplete Multi-View Multi-Label Classification via Shared Codebook and Fused-Teacher Self-Distillation
158. ICLR 2026Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
159. ICLR 2026Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restoration
160. ICLR 2026Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting
161. ICLR 2026Low rank adaptation of chemical foundation models generate effective odorant representations
162. ICLR 2026MASS: MoErging through Adaptive Subspace Selection
163. ICLR 2026MergOPT: A Merge-Aware Optimizer for Robust Model Merging
164. ICLR 2026MILPnet: A Multi-Scale Architecture with Geometric Feature Sequence Representations for Advancing MILP Problems
165. ICLR 2026Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory?
166. ICLR 2026MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation
167. ICLR 2026Multi-Condition Conformal Selection
168. ICLR 2026Multi-Feature Quantized Self-Attention for Fair Large Language Models
169. ICLR 2026Multi-Head Low-Rank Attention
170. ICLR 2026Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
171. ICLR 2026Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
172. ICLR 2026Multi-Task Low-Rank Model Adaptation
173. ICLR 2026Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
174. ICLR 2026Neural Collapse in Multi-Task Learning
175. ICLR 2026Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification
176. ICLR 2026PERSISTENCE SPHERES: BI-CONTINUOUS REPRESENTATIONS OF PERSISTENCE DIAGRAMS.
177. ICLR 2026PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme Classification
178. ICLR 2026Protein Structure Tokenization via Geometric Byte Pair Encoding
179. ICLR 2026Scaling Multi-Task Bayesian Optimization with Large Language Models
180. ICLR 2026SpectraLLM: Uncovering the Ability of LLMs for Molecule Structure Elucidation from Multi-Spectra
181. ICLR 2026SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
182. ICLR 2026Task-Agnostic Amortized Multi-Objective Optimization
183. ICLR 2026Toward Enhancing Representation Learning in Federated Multi-Task Settings
184. ICLR 2026TyphoonMLA: A Mixed Naive-Absorb MLA Kernel For Shared Prefix
185. ICLR 2026Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
186. ICML 2026A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
187. ICML 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotation
188. ICML 2026A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
189. ICML 2026A Unified Sparse Attention via Multi-Granularity Compression
190. ICML 2026Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
191. ICML 2026Alleviating Observation Bias via Causal-Invariant Meta-Learning for Unbalanced Incomplete Multi-view Clustering
192. ICML 2026Attention Implements the Fisher Geometry of Exponential Families
193. ICML 2026Being More Lightweight and Practical: Mini-sized Contrastive Learning Pre-trained Models for Fine-grained Traffic Task
194. ICML 2026Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
195. ICML 2026Breaking Multi-Task Curse: Reward-Weighted Evolution for Black-Box Many-Task Optimization
196. ICML 2026Causal Disentangled Anchor Learning for Scalable Fair Multi-view Clustering
197. ICML 2026CLIMB: Taming the LoRA Residency Cliff in Multi-LoRA Serving
198. ICML 2026Convergent World Representations and Divergent Tasks
199. ICML 2026CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
200. ICML 2026Cross-Tactile Sensor Representation Learning

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.