SOTAVerified

Multi-Task Learning

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

( Image credit: Cross-stitch Networks for Multi-task Learning )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 3687 papers

TitleStatusHype
Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning—0
Hierarchical Document Refinement for Long-context Retrieval-augmented GenerationCode1
Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach—0
MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning—0
Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet—0
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment—0
MTL-UE: Learning to Learn Nothing for Multi-Task Learning—0
NN-Based Joint Mitigation of IQ Imbalance and PA Nonlinearity With Multiple States—0
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style GenerationCode0
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian ManifoldsCode0
Multi-Scale Graph Learning for Anti-Sparse Downscaling—0
PainFormer: a Vision Foundation Model for Automatic Pain Assessment—0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks—0
Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density—0
Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing—0
SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses—0
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution—0
SMTT: Novel Structured Multi-task Tracking with Graph-Regularized Sparse Representation for Robust Thermal Infrared Target Tracking—0
SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents—0
EarthGPT-X: Enabling MLLMs to Flexibly and Comprehensively Understand Multi-Source Remote Sensing Imagery—0
A Multi-task Learning Balanced Attention Convolutional Neural Network Model for Few-shot Underwater Acoustic Target Recognition—0
Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning—0
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers—0
Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data—0
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All datasetsQM9Cityscapes testNYUv2OMNIGLOTCelebAUTKFacewireframe dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7—Unverified
2CAGrad∆m%112.8—Unverified
3IMTL-G∆m%77.2—Unverified
4Nash-MTL∆m%62—Unverified
5BayesAgg-MTL∆m%53.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41—Unverified
2Nash-MTLmIoU75.41—Unverified
3MultiObjectiveOptimizationmIoU66.63—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14—Unverified
2Nash-MTLMean IoU40.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52—Unverified
2Mixture-of-ExpertsAverage Accuracy92.19—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3—Unverified