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

Showing 401425 of 3687 papers

TitleStatusHype
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
Multi-task Hierarchical Adversarial Inverse Reinforcement LearningCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR GlassesCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
Multi-Task Learning for Interpretable Weakly Labelled Sound Event DetectionCode1
Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language ModelsCode1
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech RecognitionCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task LearningCode1
ELIT: Emory Language and Information ToolkitCode1
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in TextsCode1
Multi-Task Learning of Object State Changes from Uncurated VideosCode1
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problemsCode1
Exploring Correlations of Self-Supervised Tasks for GraphsCode1
A Multi-Task Learning Approach to Linear Multivariate ForecastingCode1
Encoding Visual Attributes in Capsules for Explainable Medical DiagnosesCode1
Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You NeedCode1
Multi-Task Recommendations with Reinforcement LearningCode1
End-to-End Multi-Task Learning with AttentionCode1
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical DecodingCode1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point CloudsCode1
Gradient Surgery for Multi-Task LearningCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
Show:102550
← PrevPage 17 of 148Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified