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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 2101–2125 of 3687 papers

TitleStatusHype
Attentive max feature map and joint training for acoustic scene classification—0
Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding—0
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task TrainingCode0
Graph-based Person Signature for Person Re-IdentificationsCode1
Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling—0
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation—0
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense—0
Estimating Subjective Crowd-Evaluations as an Additional Objective to Improve Natural Language Generation—0
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes—0
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation LearningCode1
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems—0
Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task LearningCode0
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance ComputingCode1
Annotating Columns with Pre-trained Language ModelsCode1
Unified Detection of Digital and Physical Face Attacks—0
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient ImagesCode0
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit RepresentationsCode1
An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure SystemsCode1
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural NetworkCode0
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?—0
Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis—0
BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification—0
Multilingual Negation Scope Resolution for Clinical Text—0
ALUE: Arabic Language Understanding EvaluationCode0
“Sharks are not the threat humans are”: Argument Component Segmentation in School Student Essays—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