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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 1901–1950 of 3687 papers

TitleStatusHype
Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging—0
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning—0
Self-Evolutionary Optimization for Pareto Front Learning—0
Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams—0
Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization—0
Self-Paced Multi-Task Learning—0
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations—0
Self-Supervised Embeddings for Detecting Individual Symptoms of Depression—0
Self-supervised Hypergraphs for Learning Multiple World Interpretations—0
Self-supervised Multimodal Speech Representations for the Assessment of Schizophrenia Symptoms—0
Self-supervised Multi-task Learning Framework for Safety and Health-Oriented Connected Driving Environment Perception using Onboard Camera—0
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection—0
Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting—0
Semantic Multi-Resolution Communications—0
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth—0
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture—0
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks—0
Semisoft Task Clustering for Multi-Task Learning—0
Semi-Supervised Learning for Neural Keyphrase Generation—0
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction—0
Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment—0
Semi-supervised Multi-task Learning for Semantics and Depth—0
Semi-supervised multi-task learning for lung cancer diagnosis—0
Semi-Supervised Multi-Task Learning With Chest X-Ray Images—0
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study—0
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media—0
Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis—0
Sentiment and Sarcasm Classification with Multitask Learning—0
Sentiment Domain Adaptation with Multiple Sources—0
Sentiment Expression Boundaries in Sentiment Polarity Classification—0
SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection—0
Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters—0
SEQ+MD: Learning Multi-Task as a SEQuence with Multi-Distribution Data—0
Sequence-level self-learning with multiple hypotheses—0
SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm—0
Sequential Multi-task Learning with Task Dependency for Appeal Judgment Prediction—0
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels—0
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning—0
SE Territory: Monaural Speech Enhancement Meets the Fixed Virtual Perceptual Space Mapping—0
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events—0
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation—0
SGW-based Multi-Task Learning in Vision Tasks—0
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning—0
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review—0
"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays—0
“Sharks are not the threat humans are”: Argument Component Segmentation in School Student Essays—0
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers—0
Sharper Risk Bound for Multi-Task Learning with Multi-Graph Dependent Data—0
SHEAR-net: An End-to-End Deep Learning Approach for Single Push Ultrasound Shear Wave Elasticity Imaging—0
SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation—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