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 2001–2025 of 3687 papers

TitleStatusHype
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning—0
Speaker-Distinguishable CTC: Learning Speaker Distinction Using CTC for Multi-Talker Speech Recognition—0
Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation—0
Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning—0
Speaker-Invariant Training via Adversarial Learning—0
Speech as a Multimodal Digital Phenotype for Multi-Task LLM-based Mental Health Prediction—0
SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation—0
Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation—0
Speech enhancement aided end-to-end multi-task learning for voice activity detection—0
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information—0
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention—0
Speech MOS multi-task learning and rater bias correction—0
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning—0
SpeechX: Neural Codec Language Model as a Versatile Speech Transformer—0
SpinMultiNet: Neural Network Potential Incorporating Spin Degrees of Freedom with Multi-Task Learning—0
Spoofing-Aware Speaker Verification Robust Against Domain and Channel Mismatches—0
Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus—0
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection—0
Stability of Multi-Task Kernel Regression Algorithms—0
Stable and Effective One-Step Method for Person Search—0
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning—0
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation—0
Star+: A New Multi-Domain Model for CTR Prediction—0
Stem-driven Language Models for Morphologically Rich Languages—0
Stepback: Enhanced Disentanglement for Voice Conversion via Multi-Task 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