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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 2351–2400 of 3687 papers

TitleStatusHype
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural NetworksCode0
Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenarioCode0
Weakly Supervised Multi-Object Tracking and Segmentation—0
Learning With Privileged Tasks—0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—0
HyperGrid Transformers: Towards A Single Model for Multiple Tasks—0
Information Transfer in Multi-Task Learning—0
Intra-layer Neural Architecture Search—0
Learning Multiple Pixelwise Tasks Based on Loss Scale BalancingCode0
Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective—0
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach—0
On the use of linguistic similarities to improve Neural Machine Translation for African Languages—0
CANVASEMB: Learning Layout Representation with Large-scale Pre-training for Graphic Design—0
Pseudo Label-Guided Multi Task Learning for Scene Understanding—0
Bayesian Context Aggregation for Neural Processes—0
Re-examining Routing Networks for Multi-task Learning—0
Reusing Preprocessing Data as Auxiliary Supervision in Conversational Analysis—0
Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher—0
Task Switching Network for Multi-Task Learning—0
Unsupervised Task Clustering for Multi-Task Reinforcement LearningCode0
UserBERT: Self-supervised User Representation Learning—0
Variational Multi-Task Learning—0
Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System—0
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks—0
Enhancing Handwritten Text Recognition with N-gram sequence decomposition and Multitask Learning—0
A multi-task learning network using shared BERT models for aspect-based sentiment analysis—0
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle QuantificationCode0
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling—0
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks—0
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering—0
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning—0
Real-time Multi-Task Diffractive Deep Neural Networks via Hardware-Software Co-design—0
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning—0
Invariant Feature Learning for Sensor-based Human Activity Recognition—0
SPARTA: Speaker Profiling for ARabic TAlk—0
Improving EEG Decoding via Clustering-based Multi-task Feature Learning—0
Exploring wav2vec 2.0 on speaker verification and language identification—0
Deep Learning Approach for Matrix Completion Using Manifold Learning—0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation—0
Improving Relation Extraction by Leveraging Knowledge Graph Link PredictionCode0
Traffic flow prediction using Deep Sedenion NetworksCode0
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification—0
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition—0
Extracting Fractional Inspiratory Time from Electrocardiograms—0
Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism ClassificationCode0
NTU\_NLP at SemEval-2020 Task 12: Identifying Offensive Tweets Using Hierarchical Multi-Task Learning Approach—0
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation—0
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction—0
A convex optimization formulation for multivariate regression—0
Using Eye-tracking Data to Predict the Readability of Brazilian Portuguese Sentences in Single-task, Multi-task and Sequential Transfer Learning Approaches—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