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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 2601–2625 of 3687 papers

TitleStatusHype
Normalizing Compositional Structures Across Graphbanks—0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems—0
Modeling Long Context for Task-Oriented Dialogue State Generation—0
Multi-task Ensembles with Crowdsourced Features Improve Skin Lesion DiagnosisCode0
Multi-Task Learning for Dense Prediction Tasks: A SurveyCode1
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language DetectionCode1
Heterogeneous Representation Learning: A Review—0
Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation—0
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less ForgettingCode1
Empirical Bayes Transductive Meta-Learning with Synthetic GradientsCode1
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks—0
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and SummarizationCode1
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
Learning Gaussian Maps for Dense Object Detection—0
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning—0
CLOPS: Continual Learning of Physiological Signals—0
Data Poisoning Attacks on Federated Machine Learning—0
SpEx: Multi-Scale Time Domain Speaker Extraction NetworkCode1
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts—0
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product CategoriesCode0
Unified Multi-Criteria Chinese Word Segmentation with BERT—0
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning—0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Pre-training Text Representations as Meta Learning—0
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases—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