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 3426–3450 of 3687 papers

TitleStatusHype
MTLComb: multi-task learning combining regression and classification tasks for joint feature selectionCode0
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot ClassificationCode0
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided DecodingCode0
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning ParadigmCode0
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented DialogueCode0
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd CountingCode0
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped usersCode0
Autocorrect in the Process of Translation -- Multi-task Learning Improves Dialogue Machine TranslationCode0
Forecasting Early with Meta LearningCode0
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related MicroblogsCode0
Self-Supervised Generalisation with Meta Auxiliary LearningCode0
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem SolvingCode0
MTRec: Multi-Task Learning over BERT for News RecommendationCode0
A Unified Query-based Paradigm for Camouflaged Instance SegmentationCode0
Adversarial Multi-task Learning for End-to-end Metaphor DetectionCode0
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene UnderstandingCode0
An adaptive denoising recommendation algorithm for causal separation biasCode0
Optimizing Dense Visual Predictions Through Multi-Task Coherence and PrioritizationCode0
Semantic Cross Attention for Few-shot LearningCode0
Follow the bisector: a simple method for multi-objective optimizationCode0
CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label DescriptionsCode0
AdaShare: Learning What To Share For Efficient Deep Multi-Task LearningCode0
Adaptive and Robust Multi-Task LearningCode0
Cluster-Specific Predictions with Multi-Task Gaussian ProcessesCode0
Fisher Mask Nodes for Language Model MergingCode0
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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