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 3126–3150 of 3687 papers

TitleStatusHype
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration—0
Multi-task Learning over Graph Structures—0
A Novel Technique for Evidence based Conditional Inference in Deep Neural Networks via Latent Feature Perturbation—0
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their RelationshipCode0
Multi-Task Learning of Generalizable Representations for Video Action Recognition—0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification—0
Neural Multi-Task Learning for Citation Function and ProvenanceCode0
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction—0
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property PredictionCode0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic TasksCode0
Multi-task learning for Joint Language Understanding and Dialogue State Tracking—0
Co-Representation Learning For Classification and Novel Class Detection via Deep Networks—0
A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions—0
Transformative Machine Learning—0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Multi-Task Graph AutoencodersCode0
Off-the-Shelf Unsupervised NMT—0
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation—0
Learning Shared Dynamics with Meta-World Models—0
Improving Span-based Question Answering Systems with Coarsely Labeled Data—0
Language-Independent Representor for Neural Machine Translation—0
An End-to-End Multi-task Learning Model for Fact Checking—0
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks—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