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 2626–2650 of 3687 papers

TitleStatusHype
Meta-Learning in Neural Networks: A SurveyCode1
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR—0
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events—0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationCode0
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning—0
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition—0
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question AnsweringCode1
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion SegmentationCode1
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas—0
Vocoder-Based Speech Synthesis from Silent Videos—0
Deep Homography Estimation for Dynamic ScenesCode1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment AnalysisCode1
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object TrackingCode1
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles—0
Distributed Primal-Dual Optimization for Online Multi-Task Learning—0
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection—0
Adversarial Transfer Learning for Punctuation Restoration—0
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task LearningCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
Multi-Task Reinforcement Learning with Soft ModularizationCode1
Improving out-of-distribution generalization via multi-task self-supervised pretraining—0
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning—0
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient DescentCode0
Multi-Task Learning Enhanced Single Image De-RainingCode0
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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