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 2676–2700 of 3687 papers

TitleStatusHype
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers—0
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks—0
PathRWKV: Enabling Whole Slide Prediction with Recurrent-Transformer—0
Understanding Few-Shot Multi-Task Representation Learning Theory—0
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task—0
Pattern-Structure Diffusion for Multi-Task Learning—0
Anaphora Resolution in Dialogue: System Description (CODI-CRAC 2022 Shared Task)—0
PCA-based Multi Task Learning: a Random Matrix Approach—0
PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems—0
Understanding Impacts of Task Similarity on Backdoor Attack and Detection—0
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models—0
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier—0
An analytic theory of generalization dynamics and transfer learning in deep linear networks—0
Pedestrian Attribute Recognition: A Survey—0
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints—0
An Analysis of Selection Bias Issue for Online Advertising—0
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction—0
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition—0
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction—0
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion—0
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment—0
Understand the dynamics of GANs via Primal-Dual Optimization—0
UniCoder: Scaling Code Large Language Model via Universal Code—0
Analyzing Policy Distillation on Multi-Task Learning and Meta-Reinforcement Learning in Meta-World—0
UniDual: A Unified Model for Image and Video Understanding—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