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 13 of 24

601. NeurIPS 2025GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs
602. NeurIPS 2025GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining
603. NeurIPS 2025GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
604. NeurIPS 2025Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
605. NeurIPS 2025HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
606. NeurIPS 2025HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
607. NeurIPS 2025Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
608. NeurIPS 2025IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
609. NeurIPS 2025Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
610. NeurIPS 2025Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering
611. NeurIPS 2025Learning Multi-Source and Robust Representations for Continual Learning
612. NeurIPS 2025Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
613. NeurIPS 2025Learning Shared Representations from Unpaired Data
614. NeurIPS 2025Learning Task-Agnostic Representations through Multi-Teacher Distillation
615. NeurIPS 2025LIFEBENCH: Evaluating Length Instruction Following in Large Language Models
616. NeurIPS 2025MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
617. NeurIPS 2025Meta-World+: An Improved, Standardized, RL Benchmark
618. NeurIPS 2025MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
619. NeurIPS 2025MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
620. NeurIPS 2025Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
621. NeurIPS 2025Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
622. NeurIPS 2025Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent
623. NeurIPS 2025Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
624. NeurIPS 2025Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
625. NeurIPS 2025MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
626. NeurIPS 2025MVSMamba: Multi-View Stereo with State Space Model
627. NeurIPS 2025NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
628. NeurIPS 2025Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations
629. NeurIPS 2025Objective Soups: Multilingual Multi-Task Modeling for Speech Processing
630. NeurIPS 2025Omni-Mol: Multitask Molecular Model for Any-to-any Modalities
631. NeurIPS 2025On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding
632. NeurIPS 2025One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning
633. NeurIPS 2025OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization
634. NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
635. NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
636. NeurIPS 2025PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
637. NeurIPS 2025Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
638. NeurIPS 2025pLSTM: parallelizable Linear Source Transition Mark networks
639. NeurIPS 2025Preserving Task-Relevant Information Under Linear Concept Removal
640. NeurIPS 2025PROFIT: A Specialized Optimizer for Deep Fine Tuning
641. NeurIPS 2025Prompt Tuning Decision Transformers with Structured and Scalable Bandits
642. NeurIPS 2025Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
643. NeurIPS 2025Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
644. NeurIPS 2025RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
645. NeurIPS 2025RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
646. NeurIPS 2025ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
647. NeurIPS 2025RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
648. NeurIPS 2025RNNs perform task computations by dynamically warping neural representations
649. NeurIPS 2025RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness
650. NeurIPS 2025SAINT: Sequence-Aware Integration for Spatial Transcriptomics 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.