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 2526–2550 of 3687 papers

TitleStatusHype
Masked Representation Learning for Domain Generalized Stereo Matching—0
Joint Object Contour Points and Semantics for Instance Segmentation—0
MatMat: Matrix Factorization by Matrix Fitting—0
Matrix and Tensor Factorization Methods for Natural Language Processing—0
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling—0
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning—0
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models—0
MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation—0
MCapsNet: Capsule Network for Text with Multi-Task Learning—0
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network—0
MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis—0
Measuring and Harnessing Transference in Multi-Task Learning—0
SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models—0
Medusa: Universal Feature Learning via Attentional Multitasking—0
Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data—0
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation—0
Metadata-Enhanced Speech Emotion Recognition: Augmented Residual Integration and Co-Attention in Two-Stage Fine-Tuning—0
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic—0
MetaICL: Learning to Learn In Context—0
Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling—0
Meta-Learning Multi-task Communication—0
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning—0
Meta Multi-Task Learning for Sequence Modeling—0
Meta Operator for Complex Query Answering on Knowledge Graphs—0
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning—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