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 976–1000 of 3687 papers

TitleStatusHype
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Learning to Relate to Previous Turns in Conversational SearchCode1
Biologically-Motivated Learning Model for Instructed Visual ProcessingCode0
Addressing Negative Transfer in Diffusion Models—0
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints—0
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning—0
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and HearCode1
Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning—0
Multitask learning for recognizing stress and depression in social media—0
A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem—0
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-ExpertsCode1
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Independent Component Alignment for Multi-Task Learning—0
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders—0
A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment—0
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysisCode0
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic AlgorithmsCode0
Optimizing Airbnb Search Journey with Multi-task Learning—0
A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor DetectionCode0
Understanding Emotion Valence is a Joint Deep Learning Task—0
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning—0
Coping with low data availability for social media crisis message categorisation—0
Adversarial Multi-task Learning for End-to-end Metaphor DetectionCode0
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network CompressionCode0
VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation—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