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 1876–1900 of 3687 papers

TitleStatusHype
Logically Consistent Loss for Visual Question Answering—0
BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty—0
Incorporating VAD into ASR System by Multi-task Learning—0
BanditMTL: Bandit-based Multi-task Learning for Text Classification—0
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders—0
LordBERT: Embedding Long Text by Segment Ordering with BERT—0
Baidu Translate: Research and Products—0
Low-Latency Neural Speech Translation—0
Low-Latency Task-Oriented Communications with Multi-Round, Multi-Task Deep Learning—0
Low-Rank Deep Convolutional Neural Network for Multi-Task Learning—0
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning—0
Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields—0
LRN: Limitless Routing Networks for Effective Multi-task Learning—0
LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis—0
NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction—0
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning—0
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches—0
Bagging Supervised Autoencoder Classifier for Credit Scoring—0
Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters—0
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes—0
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images—0
Backdoor Attacks against Image-to-Image Networks—0
M3TCM: Multi-modal Multi-task Context Model for Utterance Classification in Motivational Interviews—0
A Weighted Predict-and-Optimize Framework for Power System Operation Considering Varying Impacts of Uncertainty—0
Towards Emotion-aided Multi-modal Dialogue Act Classification—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