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 801–850 of 3687 papers

TitleStatusHype
Deep Neural Network for Blind Visual Quality Assessment of 4K Content—0
Deep Nonlinear Hyperspectral Unmixing Using Multi-task Learning—0
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images—0
Deep Octonion Networks—0
Deep Prompt Multi-task Network for Abuse Language Detection—0
DeepPSL: End-to-end perception and reasoning—0
deep-REMAP: Parameterization of Stellar Spectra Using Regularized Multi-Task Learning—0
deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets—0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection—0
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis—0
Deep Structured Output Learning for Unconstrained Text Recognition—0
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation—0
A Deep Multi-task Learning Approach to Skin Lesion Classification—0
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems—0
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models—0
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation—0
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs—0
Autocorrect in the Process of Translation --- Multi-task Learning Improves Dialogue Machine Translation—0
Delving into 3D Action Anticipation from Streaming Videos—0
DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography—0
A Unified Approach to Kinship Verification—0
Achieving RGB-D level Segmentation Performance from a Single ToF Camera—0
Efficient Multi-task Prompt Tuning for Recommendation—0
Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory—0
Dependency Parsing as Sequence Labeling with Head-Based Encoding and Multi-Task Learning—0
Dependent Multi-Task Learning with Causal Intervention for Image Captioning—0
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning—0
Deploying Multi-task Online Server with Large Language Model—0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty—0
Derivative Free Weight-space Ensembling—0
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Deeply Learned Attributes for Crowded Scene Understanding—0
Design Perspectives of Multitask Deep Learning Models and Applications—0
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures—0
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction—0
A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific—0
Detecting Concealed Information in Text and Speech—0
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0—0
Automatic Expert Selection for Multi-Scenario and Multi-Task Search—0
Audio-Visual Speech Inpainting with Deep Learning—0
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights—0
A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognition—0
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction—0
Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer—0
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks—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