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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 1851–1900 of 3687 papers

TitleStatusHype
Generalizing Successor Features to continuous domains for Multi-task Learning—0
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning—0
Rethinking Rehearsal in Lifelong Learning: Does An Example Contribute the Plasticity or Stability?—0
Generative Modeling for Multitask Visual Learning—0
DeepAnalyze: Learning to Localize Crashes at Scale—0
Joint Estimation of Multiple RF Impairments Using Deep Multi-Task Learning—0
Who speaks like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning—0
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition—0
DeepPSL: End-to-end perception and reasoning—0
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images—0
Consistency Training of Multi-exit Architectures for Sensor Data—0
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification—0
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task LearningCode0
Multi-task Learning with Domain Knowledge for Molecular Property Prediction—0
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role LabelingCode0
Improved optimization strategies for deep Multi-Task Networks—0
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language—0
Comparison of single and multitask learning for predicting cognitive decline based on MRI dataCode0
CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task—0
Lifelong Robotic Reinforcement Learning by Retaining Experiences—0
Multi-Task Learning in Natural Language Processing: An Overview—0
Machine Reading Comprehension: Generative or Extractive Reader?—0
A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction AnalysisCode0
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
A Bag of Tricks for Dialogue Summarization—0
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task LearningCode1
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes—0
Multi-Task Learning with Sequence-Conditioned Transporter Networks—0
Explainable Identification of Dementia from Transcripts using Transformer Networks—0
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer EncodersCode0
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission—0
Deep Joint Source-Channel Coding for Multi-Task Network—0
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks—0
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA FrameworkCode1
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion—0
Efficiently Identifying Task Groupings for Multi-Task Learning—0
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning ApproachCode0
ELIT: Emory Language and Information ToolkitCode1
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation—0
Speech Emotion Recognition with Multi-Task LearningCode1
Multitask Balanced and Recalibrated Network for Medical Code PredictionCode1
Transformer Models for Text Coherence AssessmentCode1
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering—0
A Multi-view Multi-task Learning Framework for Multi-variate Time Series ForecastingCode1
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and GenerationCode1
HunterSpeechLab at GermEval 2021: Does Your Comment Claim A Fact? Contextualized Embeddings for German Fact-Claiming Comment Classification—0
SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models—0
Private Multi-Task Learning: Formulation and Applications to Federated LearningCode0
MEDIC: A Multi-Task Learning Dataset for Disaster Image ClassificationCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
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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