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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 3026–3050 of 3687 papers

TitleStatusHype
Multi-Task Learning for Argumentation Mining—0
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding—0
Unifying Question Answering, Text Classification, and Regression via Span Extraction—0
On Low-rank Trace Regression under General Sampling DistributionCode0
Multi-task Learning for Influence Estimation and MaximizationCode0
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition—0
Reinforcement Learning Based Emotional Editing Constraint Conversation Generation—0
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning—0
Low-Rank Deep Convolutional Neural Network for Multi-Task Learning—0
Strong Baselines for Complex Word Identification across Multiple LanguagesCode0
Context-Aware Embeddings for Automatic Art AnalysisCode0
What and How Well You Performed? A Multitask Learning Approach to Action Quality AssessmentCode1
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning—0
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and ExtractionCode0
A Multi-task Learning Approach for Named Entity Recognition using Local Detection—0
Branched Multi-Task Networks: Deciding What Layers To Share—0
Learning Task Relatedness in Multi-Task Learning for Images in Context—0
Multi-task Learning for Japanese Predicate Argument Structure Analysis—0
Multi-task Learning for Chinese Word Usage Errors Detection—0
Recognition of Advertisement Emotions with Application to Computational Advertising—0
On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning—0
Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics—0
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from SpeechCode0
Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification—0
Many Task Learning with Task RoutingCode0
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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