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 2276–2300 of 3687 papers

TitleStatusHype
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense—0
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation—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
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
Unified Detection of Digital and Physical Face Attacks—0
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient ImagesCode0
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural NetworkCode0
“Sharks are not the threat humans are”: Argument Component Segmentation in School Student Essays—0
Learning Relatedness between Types with Prototypes for Relation ExtractionCode0
Learning Rates for Multi-task Regularization Networks—0
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering—0
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?—0
BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification—0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation ExtractionCode0
Multilingual Negation Scope Resolution for Clinical Text—0
Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation—0
ALUE: Arabic Language Understanding EvaluationCode0
Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis—0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks—0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks—0
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB—0
Autocorrect in the Process of Translation -- Multi-task Learning Improves Dialogue Machine TranslationCode0
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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