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 19 of 24

901. CVPR 2023Collaborative Noisy Label Cleaner: Learning Scene-Aware Trailers for Multi-Modal Highlight Detection in Movies
902. CVPR 2023Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning
903. CVPR 2023DF-Platter: Multi-Face Heterogeneous Deepfake Dataset
904. CVPR 2023Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies
905. CVPR 2023Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations
906. CVPR 2023Egocentric Video Task Translation
907. CVPR 2023FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
908. CVPR 2023Focus on Details: Online Multi-Object Tracking With Diverse Fine-Grained Representation
909. CVPR 2023GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering
910. CVPR 2023Generalizable Implicit Neural Representations via Instance Pattern Composers
911. CVPR 2023Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
912. CVPR 2023GeoMVSNet: Learning Multi-View Stereo With Geometry Perception
913. CVPR 2023GLeaD: Improving GANs With a Generator-Leading Task
914. CVPR 2023GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images
915. CVPR 2023Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images
916. CVPR 2023Hierarchical Prompt Learning for Multi-Task Learning
917. CVPR 2023Independent Component Alignment for Multi-Task Learning
918. CVPR 2023Indescribable Multi-Modal Spatial Evaluator
919. CVPR 2023Ingredient-Oriented Multi-Degradation Learning for Image Restoration
920. CVPR 2023Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images
921. CVPR 2023Language Adaptive Weight Generation for Multi-Task Visual Grounding
922. CVPR 2023Learning Debiased Representations via Conditional Attribute Interpolation
923. CVPR 2023Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
924. CVPR 2023Learning Discriminative Representations for Skeleton Based Action Recognition
925. CVPR 2023Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce
926. CVPR 2023Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator
927. CVPR 2023Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization
928. CVPR 2023Learning Neural Volumetric Representations of Dynamic Humans in Minutes
929. CVPR 2023MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation
930. CVPR 2023MaPLe: Multi-Modal Prompt Learning
931. CVPR 2023Masked Image Modeling With Local Multi-Scale Reconstruction
932. CVPR 2023MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos
933. CVPR 2023MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer
934. CVPR 2023Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives
935. CVPR 2023Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners
936. CVPR 2023MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
937. CVPR 2023Multi Domain Learning for Motion Magnification
938. CVPR 2023Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference
939. CVPR 2023Multi-Label Compound Expression Recognition: C-EXPR Database & Network
940. CVPR 2023Multi-Level Logit Distillation
941. CVPR 2023Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling
942. CVPR 2023Multi-Modal Representation Learning With Text-Driven Soft Masks
943. CVPR 2023Multi-Object Manipulation via Object-Centric Neural Scattering Functions
944. CVPR 2023Multi-View Azimuth Stereo via Tangent Space Consistency
945. CVPR 2023Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF)
946. CVPR 2023MVImgNet: A Large-Scale Dataset of Multi-View Images
947. CVPR 2023NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images
948. CVPR 2023NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images
949. CVPR 2023Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views
950. CVPR 2023NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation

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.