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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 2826–2850 of 3687 papers

TitleStatusHype
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification—0
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue—0
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements—0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images—0
Random Fourier Features for Operator-Valued Kernels—0
Rank and Rate: Multi-task Learning for Recommender Systems—0
Rank-Based Multi-task Learning for Fair Regression—0
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework—0
Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning—0
Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo—0
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo—0
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese—0
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules—0
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling—0
Real-Time Joint Personalized Speech Enhancement and Acoustic Echo Cancellation—0
Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning with a Use-Case in Resource Allocation in Communication Networks—0
Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning—0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
ReasVQA: Advancing VideoQA with Imperfect Reasoning Process—0
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition—0
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation—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