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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2301–2325 of 3687 papers

TitleStatusHype
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction—0
Watermarking Pre-trained Language Models with Backdooring—0
Weakly Supervised Image Classification Through Noise Regularization—0
Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images—0
Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping—0
Weakly Supervised Multi-Object Tracking and Segmentation—0
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation—0
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition—0
Weakly Supervised Multi-task Learning for Concept-based Explainability—0
Getting More for Less: Using Weak Labels and AV-Mixup for Robust Audio-Visual Speaker Verification—0
What can we learn from Semantic Tagging?—0
What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant—0
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark—0
When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation—0
When does deep multi-task learning work for loosely related document classification tasks?—0
When is an SHM problem a Multi-Task-Learning problem?—0
When is Multi-task Learning Beneficial for Low-Resource Noisy Code-switched User-generated Algerian Texts?—0
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers—0
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation—0
Where is the Model Looking At?--Concentrate and Explain the Network Attention—0
Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit—0
Who speaks like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning—0
Why is the winner the best?—0
WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification—0
WiFo: Wireless Foundation Model for Channel Prediction—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