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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 3101–3125 of 3687 papers

TitleStatusHype
SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting—0
A Joint Learning Framework With BERT for Spoken Language Understanding—0
SLM as Guardian: Pioneering AI Safety with Small Language Models—0
Sluice Resolution without Hand-Crafted Features over Brittle Syntax Trees—0
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
Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images—0
A high-precision underwater object detection based on joint self-supervised deblurring and improved spatial transformer network—0
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation—0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images—0
SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—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
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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