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 2371–2380 of 3687 papers

TitleStatusHype
MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation—0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks—0
Open-Domain Frame Semantic Parsing Using TransformersCode1
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog—0
A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue GenerationCode1
A Federated Learning Approach to Anomaly Detection in Smart Buildings—0
Pedestrian Intention Prediction: A Multi-task PerspectiveCode1
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES RepresentationCode0
Adversarial Training for Code Retrieval with Question-Description Relevance RegularizationCode0
Training Flexible Depth Model by Multi-Task Learning for Neural Machine 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