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 351–375 of 3687 papers

TitleStatusHype
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep LearningCode1
Curriculum-based Asymmetric Multi-task Reinforcement LearningCode1
Learning to Estimate External Forces of Human Motion in VideoCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
Allophant: Cross-lingual Phoneme Recognition with Articulatory AttributesCode1
GRANITE: A Graph Neural Network Model for Basic Block Throughput EstimationCode1
Learning to Relate Depth and Semantics for Unsupervised Domain AdaptationCode1
Learning to Relate to Previous Turns in Conversational SearchCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
DaWin: Training-free Dynamic Weight Interpolation for Robust AdaptationCode1
Leveraging speaker attribute information using multi task learning for speaker verification and diarizationCode1
Line Segment Detection Using Transformers without EdgesCode1
Lipschitz standardization for multivariate learningCode1
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge BasesCode1
Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report GenerationCode1
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian RegularizationCode1
Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You NeedCode1
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task LearningCode1
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous DrivingCode1
Deep Learning for Automatic Pneumonia DetectionCode1
Deep Homography Estimation for Dynamic ScenesCode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
Many Hands Make Light Work: Using Essay Traits to Automatically Score EssaysCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
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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