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 701–725 of 3687 papers

TitleStatusHype
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving—0
A Multi-Task Learning Framework for COVID-19 Monitoring and Prediction of PPE Demand in Community Health Centres—0
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification—0
Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts—0
3D Virtual Garment Modeling from RGB Images—0
Discourse-Aware Emotion Cause Extraction in Conversations—0
Discriminative Feature Learning with Foreground Attention for Person Re-Identification—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
Auxiliary Learning by Implicit Differentiation—0
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content—0
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning—0
AutoSTL: Automated Spatio-Temporal Multi-Task Learning—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey—0
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning—0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning—0
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition—0
Advances and Challenges in Meta-Learning: A Technical Review—0
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis—0
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes—0
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings—0
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization—0
Automatic Expert Selection for Multi-Scenario and Multi-Task Search—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