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 1701–1725 of 3687 papers

TitleStatusHype
Sequence-level self-learning with multiple hypotheses—0
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related MicroblogsCode0
Findings on Conversation Disentanglement—0
New Tight Relaxations of Rank Minimization for Multi-Task Learning—0
CoMPS: Continual Meta Policy Search—0
Multi-Task Learning on Networks—0
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge DistillationCode1
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
Geometry-aware Two-scale PIFu Representation for Human Reconstruction—0
CTIN: Robust Contextual Transformer Network for Inertial NavigationCode1
Multilingual Text Classification for Dravidian Languages—0
Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors—0
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task LearningCode1
Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation—0
A generic physics-informed neural network-based framework for reliability assessment of multi-state systemsCode1
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and RepairCode1
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFsCode1
argmax centroid—0
Forecasting battery capacity and power degradation with multi-task learning—0
Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes—0
Learning Multiple Dense Prediction Tasks from Partially Annotated DataCode1
Cross-Task Consistency Learning Framework for Multi-Task LearningCode0
Learning to Transfer for Traffic Forecasting via Multi-task LearningCode0
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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