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 2351–2375 of 3687 papers

TitleStatusHype
Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations—0
Translation Quality Estimation by Jointly Learning to Score and Rank—0
Towards Enhancing Faithfulness for Neural Machine Translation—0
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement LearningCode1
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition—0
PAL : Pretext-based Active Learning—0
Measuring and Harnessing Transference in Multi-Task Learning—0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning—0
Polymer Informatics with Multi-Task Learning—0
Leveraging speaker attribute information using multi task learning for speaker verification and diarizationCode1
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting—0
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task LearningCode0
Byzantine Resilient Distributed Multi-Task LearningCode0
Multi-task Supervised Learning via Cross-learning—0
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine TranslationCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
Speech enhancement aided end-to-end multi-task learning for voice activity detection—0
Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised ModelsCode0
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers—0
MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation—0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks—0
Open-Domain Frame Semantic Parsing Using TransformersCode1
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog—0
A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue GenerationCode1
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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