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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 2026–2050 of 3687 papers

TitleStatusHype
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression—0
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels—0
Stochastic Variational Deep Kernel Learning—0
Stock Index Prediction with Multi-task Learning and Word Polarity Over Time—0
Structural Supervision for Word Alignment and Machine Translation—0
Structure-aware Fine-tuning for Code Pre-trained Models—0
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning—0
Structured and Localized Image Restoration—0
Structured low-rank matrix learning: algorithms and applications—0
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning—0
Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher—0
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos—0
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training—0
SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT—0
SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction—0
Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning—0
Supervised Treebank Conversion: Data and Approaches—0
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace—0
SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion—0
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods—0
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning—0
SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents—0
Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs—0
SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images—0
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction—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