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 2201–2225 of 3687 papers

TitleStatusHype
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning—0
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling—0
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems—0
TUPA at MRP 2019: A Multi-Task Baseline System—0
TUTORING: Instruction-Grounded Conversational Agent for Language Learners—0
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning—0
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge—0
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling—0
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence—0
Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition—0
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images—0
A Two-Stage Learning-to-Defer Approach for Multi-Task Learning—0
Two-Stream Multi-Task Network for Fashion Recognition—0
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection—0
Uncertainty-Aware Explainable Recommendation with Large Language Models—0
Uncertainty Regularized Multi-Task Learning—0
Uncovering the Corona Virus Map Using Deep Entities and Relationship Models—0
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning—0
Understanding and Improving Information Transfer in Multi-Task Learning—0
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder—0
Understanding Auditory Evoked Brain Signal via Physics-informed Embedding Network with Multi-Task Transformer—0
Understanding Emotion Valence is a Joint Deep Learning Task—0
Understanding Few-Shot Multi-Task Representation Learning Theory—0
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task—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