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

Showing 29513000 of 3687 papers

TitleStatusHype
Semi-supervised Domain Adaptation for Dependency ParsingCode0
Soft Representation Learning for Sparse Transfer0
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment0
Detecting Concealed Information in Text and Speech0
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning0
Text Categorization by Learning Predominant Sense of Words as Auxiliary TaskCode0
Incorporating Linguistic Constraints into Keyphrase Generation0
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings0
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer EncoderCode0
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data0
Compositional Semantic Parsing Across Graphbanks0
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised LearningCode0
EQuANt (Enhanced Question Answer Network)Code0
Multi-task Learning for Aggregated Data using Gaussian ProcessesCode0
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers0
End-to-End ASR for Code-switched Hindi-English Speech0
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data0
Graph Star Net for Generalized Multi-Task LearningCode0
Learning to segment microscopy images with lazy labels0
3D Instance Segmentation via Multi-Task Metric Learning0
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors0
Improving Sentiment Analysis with Multi-task Learning of NegationCode0
Better transfer learning with inferred successor maps0
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and VideosCode0
A Multi-Task Architecture on Relevance-based Neural Query Translation0
Delving into 3D Action Anticipation from Streaming Videos0
Variational Federated Multi-Task Learning0
Multitask Learning for Network Traffic ClassificationCode0
Continual and Multi-Task Architecture SearchCode0
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification0
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain0
UniDual: A Unified Model for Image and Video Understanding0
Visual Person Understanding through Multi-Task and Multi-Dataset Learning0
Evolving Losses for Unlabeled Video Representation Learning0
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning0
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationCode0
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First StrategiesCode0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification0
Does Learning Specific Features for Related Parts Help Human Pose Estimation?0
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations0
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection0
Weakly Supervised Image Classification Through Noise Regularization0
Multi-Task Learning for Audio Visual Active Speaker Detection0
Cyclic Guidance for Weakly Supervised Joint Detection and SegmentationCode0
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning0
HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing0
Phylogenic Multi-Lingual Dependency Parsing0
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling0
Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified