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 1601–1625 of 3687 papers

TitleStatusHype
Unifying the Discrete and Continuous Emotion labels for Speech Emotion Recognition—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
Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared ParametersCode0
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning—0
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
Watermarking Pre-trained Language Models with Backdooring—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Multi-Task Learning for Joint Semantic Role and Proto-Role Labeling—0
Composite Learning for Robust and Effective Dense Predictions—0
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation RecognitionCode0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
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
Understanding Impacts of Task Similarity on Backdoor Attack and Detection—0
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided DecodingCode0
Semantic Cross Attention for Few-shot LearningCode0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
Visually Similar Products Retrieval for Shopsy—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