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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 1451–1475 of 3687 papers

TitleStatusHype
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework—0
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information—0
Identity-Enhanced Network for Facial Expression Recognition—0
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification—0
Joint Learning of Named Entity Recognition and Entity Linking—0
IITP-CUNI@3C: Supervised Approaches for Citation Classification (Task A) and Citation Significance Detection (Task B)—0
Decentralized Multi-Task Learning Based on Extreme Learning Machines—0
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System—0
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data—0
Image Change Captioning by Learning From an Auxiliary Task—0
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach—0
Large-Scale Meta-Learning with Continual Trajectory Shifting—0
Compression-Based Regularization with an Application to Multi-Task Learning—0
Implicit Discourse Relation Classification via Multi-Task Neural Networks—0
Deconstructing Supertagging into Multi-Task Sequence Prediction—0
Importance Estimation from Multiple Perspectives for Keyphrase Extraction—0
A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images—0
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share—0
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks—0
LiPost: Improved Content Understanding With Effective Use of Multi-task Contrastive Learning—0
Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning—0
Finger-UNet: A U-Net based Multi-Task Architecture for Deep Fingerprint Enhancement—0
Interpretable MTL from Heterogeneous Domains using Boosted Tree—0
A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition—0
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation—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