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 2851–2875 of 3687 papers

TitleStatusHype
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition—0
Multi-Task Learning via Conic Programming—0
Multi-task learning via robust regularized clustering with non-convex group penalties—0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head—0
Multi-Task Learning via Task Multi-Clustering—0
Reducing the Model Variance of a Rectal Cancer Segmentation Network—0
Multi-task Learning with Attention for End-to-end Autonomous Driving—0
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition—0
Multi-task Learning with Cross Attention for Keyword Spotting—0
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy—0
Multi-task learning with deep model based reinforcement learning—0
Multi-Task Learning with Deep Neural Networks: A Survey—0
Multi-task Learning with Domain Knowledge for Molecular Property Prediction—0
Multi-task Learning with Gradient Communication—0
Multi-task Learning with Gradient Guided Policy Specialization—0
Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification—0
Multi-Task Learning with Incomplete Data for Healthcare—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
Multi-Task Learning with Labeled and Unlabeled Tasks—0
Multi-Task Learning with Language Modeling for Question Generation—0
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning—0
Multi-Task Learning with Loop Specific Attention for CDR Structure Prediction—0
Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification—0
Multi-task Learning with Metadata for Music Mood Classification—0
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension—0
Show:102550
← PrevPage 115 of 148Next →
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