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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

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Showing 651–675 of 3687 papers

TitleStatusHype
A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions—0
Adversarial Inductive Transfer Learning with input and output space adaptation—0
BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification—0
BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification—0
A Multi-task Model for Multilingual Trigger Detection and Classification—0
A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction—0
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues—0
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes—0
Bench-Marking And Improving Arabic Automatic Image Captioning Through The Use Of Multi-Task Learning Paradigm—0
Behavior Self-Organization Supports Task Inference for Continual Robot Learning—0
A multi-task learning network using shared BERT models for aspect-based sentiment analysis—0
A Convex Formulation for Learning Task Relationships in Multi-Task Learning—0
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs—0
A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework—0
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge—0
A multi-task learning model for malware classification with useful file access pattern from API call sequence—0
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing—0
Extracting Fractional Inspiratory Time from Electrocardiograms—0
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data—0
Adversarial Attribute-Image Person Re-identification—0
Bayesian Model Adaptation for Crowd Counts—0
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs—0
7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition—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