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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 1051–1075 of 3687 papers

TitleStatusHype
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic TasksCode0
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative ExamplesCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
Image Aesthetic Assessment Assisted by Attributes through Adversarial LearningCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
Hybrid Losses for Hierarchical Embedding LearningCode0
Comparison of single and multitask learning for predicting cognitive decline based on MRI dataCode0
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender RecognitionCode0
Human Keypoint Detection by Progressive Context RefinementCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data SynthesizationCode0
Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI ScansCode0
Hierarchical Multi-task learning framework for Isometric-Speech Language TranslationCode0
Out-of-Scope Domain and Intent Classification through Hierarchical Joint ModelingCode0
Helping Visually Impaired People Take Better Quality PicturesCode0
Cross-Silo Heterogeneous Model Federated Multitask LearningCode0
HeroNet: A Hybrid Retrieval-Generation Network for Conversational BotsCode0
Co-evolutionary multi-task learning for dynamic time series predictionCode0
Representation Disentanglement for Multi-task Learning with application to Fetal UltrasoundCode0
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property PredictionCode0
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive TranslatorsCode0
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function ClassesCode0
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for MarketingCode0
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer TranscriptomeCode0
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and ExtractionCode0
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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