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 1901–1925 of 3687 papers

TitleStatusHype
Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios—0
Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management—0
Towards Enhancing Faithfulness for Neural Machine Translation—0
Machine Reading Comprehension: Generative or Extractive Reader?—0
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation—0
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training—0
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks—0
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning—0
MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation—0
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis—0
Manifold regularization based on Nyström type subsampling—0
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving—0
Many-Objective Multi-Solution Transport—0
7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition—0
MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents—0
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation—0
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain—0
Masked Representation Learning for Domain Generalized Stereo Matching—0
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning—0
Joint Object Contour Points and Semantics for Instance Segmentation—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
Auxiliary Learning by Implicit Differentiation—0
MatMat: Matrix Factorization by Matrix Fitting—0
Matrix and Tensor Factorization Methods for Natural Language Processing—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