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 876–900 of 3687 papers

TitleStatusHype
Image Aesthetic Assessment Assisted by Attributes through Adversarial LearningCode0
AXNet: ApproXimate computing using an end-to-end trainable neural networkCode0
Identifying beneficial task relations for multi-task learning in deep neural networksCode0
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in MemesCode0
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for MarketingCode0
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role LabelingCode0
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task LearningCode0
Identification of Distorted RF Components via Deep Multi-Task LearningCode0
Identification of Negative Transfers in Multitask Learning Using Surrogate ModelsCode0
Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)Code0
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item RecommendationCode0
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative ExamplesCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Multi-task Learning Based Neural Bridging Reference ResolutionCode0
Multitask Learning-Based Neural Bridging Reference ResolutionCode0
Multi-Task Learning Enhanced Single Image De-RainingCode0
Multi-task Learning for Aggregated Data using Gaussian ProcessesCode0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian ProcessesCode0
Cross-Task Consistency Learning Framework for Multi-Task LearningCode0
Ask Question First for Enhancing Lifelong Language LearningCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Cross-stitch Networks for Multi-task LearningCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and DesnowingCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
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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