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 1976–2000 of 3687 papers

TitleStatusHype
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection—0
Small Towers Make Big Differences—0
SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing—0
SMTT: Novel Structured Multi-task Tracking with Graph-Regularized Sparse Representation for Robust Thermal Infrared Target Tracking—0
SOFARI: High-Dimensional Manifold-Based Inference—0
SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses—0
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation—0
Soft Representation Learning for Sparse Transfer—0
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems—0
SoilingNet: Soiling Detection on Automotive Surround-View Cameras—0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images—0
SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation—0
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction—0
Sparse Bayesian Multi-Task Learning—0
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity—0
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners—0
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners—0
SPARTA: Speaker Profiling for ARabic TAlk—0
Spatial Object Recommendation with Hints: When Spatial Granularity Matters—0
Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation—0
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction—0
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation—0
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data—0
Speaker Adaptation for Attention-Based End-to-End Speech Recognition—0
Speaker Adaptation for End-to-End CTC Models—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