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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

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Showing 3001–3025 of 3687 papers

TitleStatusHype
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person SearchCode0
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task LearningCode0
Multi-Task Learning of Height and Semantics from Aerial ImagesCode0
DCID: Deep Canonical Information DecompositionCode0
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and RelationsCode0
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language DetectionCode0
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task LearningCode0
A Joint Model for Definition Extraction with Syntactic Connection and Semantic ConsistencyCode0
DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural NetworksCode0
Multi-task Learning of Negation and Speculation for Targeted Sentiment ClassificationCode0
EQuANt (Enhanced Question Answer Network)Code0
Joint Learning of Saliency Detection and Weakly Supervised Semantic SegmentationCode0
Together We Can: Multilingual Automatic Post-Editing for Low-Resource LanguagesCode0
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label SpacesCode0
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and ResourcesCode0
Biologically-Motivated Learning Model for Instructed Visual ProcessingCode0
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question AnsweringCode0
UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank AdaptationCode0
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch NetworkCode0
SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image dataCode0
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual PromptCode0
Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashingCode0
A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian ReviewsCode0
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task DistillationCode0
Multi-task learning on the edge: cost-efficiency and theoretical optimalityCode0
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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