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 1951–1975 of 3687 papers

TitleStatusHype
Sequence-level self-learning with multiple hypotheses—0
New Tight Relaxations of Rank Minimization for Multi-Task Learning—0
CoMPS: Continual Meta Policy Search—0
Multi-Task Learning on Networks—0
UCD-CS at TREC 2021 Incident Streams TrackCode0
MatMat: Matrix Factorization by Matrix Fitting—0
Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep ClassifiersCode0
Multilingual Text Classification for Dravidian Languages—0
Geometry-aware Two-scale PIFu Representation for Human Reconstruction—0
Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors—0
argmax centroid—0
Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation—0
Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes—0
Forecasting battery capacity and power degradation with multi-task learning—0
Cross-Task Consistency Learning Framework for Multi-Task LearningCode0
Learning to Transfer for Traffic Forecasting via Multi-task LearningCode0
BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learningCode0
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review—0
Myope Models -- Are face presentation attack detection models short-sighted?—0
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality DetectionCode0
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video—0
Deep Safe Multi-Task Learning—0
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning—0
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
Docking-based Virtual Screening with Multi-Task Learning—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