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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 2276–2300 of 3687 papers

TitleStatusHype
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning—0
Non-Intrusive Speech Intelligibility Prediction for Hearing Aids using Whisper and Metadata—0
Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue—0
Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
Variational Federated Multi-Task Learning—0
Variational Multi-Task Learning—0
Variational Offline Multi-agent Skill Discovery—0
Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning—0
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks—0
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network—0
Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNets—0
Video Captioning with Guidance of Multimodal Latent Topics—0
ViL-Sum: Enhancing Vision and Language Representations via Multi-task Learning for Multi-modal Summarization—0
VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation—0
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving—0
Visual Interest Prediction with Attentive Multi-Task Transfer Learning—0
Visually Similar Products Retrieval for Shopsy—0
Visual Person Understanding through Multi-Task and Multi-Dataset Learning—0
Visual-Tactile Sensing for Real-time Liquid Volume Estimation in Grasping—0
Vocoder-Based Speech Synthesis from Silent Videos—0
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions—0
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users—0
VSANet: Real-time Speech Enhancement Based on Voice Activity Detection and Causal Spatial Attention—0
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation—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