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 1501–1525 of 3687 papers

TitleStatusHype
Improving on-device speaker verification using federated learning with privacy—0
Improving out-of-distribution generalization via multi-task self-supervised pretraining—0
Improving part-of-speech tagging via multi-task learning and character-level word representations—0
Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms—0
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning—0
Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data—0
Exploring Query Understanding for Amazon Product Search—0
Joint Learning of Named Entity Recognition and Entity Linking—0
Deep Estimation of Speckle Statistics Parametric Images—0
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?—0
Improving sentence compression by learning to predict gaze—0
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain—0
FineText: Text Classification via Attention-based Language Model Fine-tuning—0
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data—0
Deepfake Detection via Knowledge Injection—0
Improving Span-based Question Answering Systems with Coarsely Labeled Data—0
Improving Syntactic Parsing with Consistency Learning—0
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement—0
Comprehensive Video Understanding: Video summarization with content-based video recommender design—0
Compositional Zero-Shot Domain Transfer with Text-to-Text Models—0
Deep generative model-driven multimodal prostate segmentation in radiotherapy—0
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning—0
Compositional Semantic Parsing Across Graphbanks—0
Findings on Conversation Disentanglement—0
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning—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