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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 1551–1575 of 3687 papers

TitleStatusHype
NeuS: Neutral Multi-News Summarization for Mitigating Framing BiasCode1
Segmentation-Consistent Probabilistic Lesion CountingCode0
MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning—0
Efficient Extraction of Pathologies from C-Spine Radiology Reports using Multi-Task Learning—0
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment—0
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0—0
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model—0
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods—0
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation—0
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning—0
High Efficiency Pedestrian Crossing Prediction—0
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo—0
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks—0
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic SegmentationCode1
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site ValidationCode1
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task LearningCode0
HLDC: Hindi Legal Documents CorpusCode1
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation—0
Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR—0
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal RegressionCode0
Synthetic Photovoltaic and Wind Power Forecasting Data—0
MMER: Multimodal Multi-task Learning for Speech Emotion RecognitionCode1
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data—0
Task Adaptive Parameter Sharing for Multi-Task LearningCode1
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels—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