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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1601–1650 of 3687 papers

TitleStatusHype
TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer—0
Teacher-Student Architecture for Knowledge Learning: A Survey—0
Multi-task Bias-Variance Trade-off Through Functional Constraints—0
Discourse-Aware Emotion Cause Extraction in Conversations—0
Is Multi-Task Learning an Upper Bound for Continual Learning?—0
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance—0
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning—0
Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared ParametersCode0
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal SupervisionCode0
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction—0
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Watermarking Pre-trained Language Models with Backdooring—0
Multi-Task Learning for Joint Semantic Role and Proto-Role Labeling—0
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation RecognitionCode0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
Composite Learning for Robust and Effective Dense Predictions—0
Explanations from Large Language Models Make Small Reasoners Better—0
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of TransformersCode0
Optimizing Evaluation Metrics for Multi-Task Learning via the Alternating Direction Method of Multipliers—0
Semantic Cross Attention for Few-shot LearningCode0
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided DecodingCode0
Understanding Impacts of Task Similarity on Backdoor Attack and Detection—0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
Visually Similar Products Retrieval for Shopsy—0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
Improving End-to-End Text Image Translation From the Auxiliary Text Translation TaskCode0
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models—0
Multi-Task Dynamical SystemsCode0
A Unified Framework for Multi-intent Spoken Language Understanding with promptingCode0
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentationCode0
Depth Is All You Need for Monocular 3D Detection—0
Span Extraction Aided Improved Code-mixed Sentiment ClassificationCode0
A Distance-Aware Multi-Task Framework for Conversational Discourse ParsingCode0
Joint Goal Segmentation and Goal Success Prediction on Multi-Domain Conversations—0
Learning to Generate Explanation from e-Hospital Services for Medical SuggestionCode0
Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis—0
A Transformer-based Threshold-Free Framework for Multi-Intent NLU—0
DCT-Centered Temporal Relation Extraction—0
How to Parse a Creole: When Martinican Creole Meets French—0
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
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
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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