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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 1301–1350 of 3687 papers

TitleStatusHype
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic ControlCode1
CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task LearningCode1
Neural Graphical ModelsCode1
Span Extraction Aided Improved Code-mixed Sentiment ClassificationCode0
A Distance-Aware Multi-Task Framework for Conversational Discourse ParsingCode0
How to Parse a Creole: When Martinican Creole Meets French—0
Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis—0
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge BasesCode1
A Transformer-based Threshold-Free Framework for Multi-Intent NLU—0
DCT-Centered Temporal Relation Extraction—0
Joint Goal Segmentation and Goal Success Prediction on Multi-Domain Conversations—0
Learning to Generate Explanation from e-Hospital Services for Medical SuggestionCode0
MRC-based Medical NER with Multi-task Learning and Multi-strategies—0
Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models—0
Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus—0
MLink: Linking Black-Box Models from Multiple Domains for Collaborative InferenceCode1
Design Perspectives of Multitask Deep Learning Models and Applications—0
TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding—0
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events—0
Grouped Adaptive Loss Weighting for Person Search—0
Grape Cold Hardiness Prediction via Multi-Task Learning—0
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer TransformersCode0
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving—0
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction—0
Detecting Political Biases of Named Entities and Hashtags on TwitterCode0
Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word EmbeddingsCode0
MLT-LE: predicting drug-target binding affinity with multi-task residual neural networksCode0
A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics—0
Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot FillingCode0
Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair ExtractionCode0
Sequential Cross Attention Based Multi-task LearningCode0
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation—0
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information—0
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive LearningCode0
A Method for Discovering Novel Classes in Tabular DataCode0
SATformer: Transformer-Based UNSAT Core Learning—0
Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue SummarizationCode1
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of SatellitesCode0
Prompt Tuning with Soft Context Sharing for Vision-Language ModelsCode0
Modeling Adaptive Fine-grained Task Relatedness for Joint CTR-CVR Estimation—0
YOLOPv2: Better, Faster, Stronger for Panoptic Driving PerceptionCode2
Constraint-driven multi-task learning—0
Retinal Structure Detection in OCTA Image via Voting-based Multi-task LearningCode1
Decentralized Collaborative Learning with Probabilistic Data Protection—0
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot ClassificationCode0
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures—0
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in SanskritCode0
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking—0
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding—0
Multi-task Learning for Monocular Depth and Defocus Estimations with Real ImagesCode0
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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