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 1876–1900 of 3687 papers

TitleStatusHype
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task LearningCode1
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes—0
Multi-Task Learning with Sequence-Conditioned Transporter Networks—0
Explainable Identification of Dementia from Transcripts using Transformer Networks—0
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer EncodersCode0
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission—0
Deep Joint Source-Channel Coding for Multi-Task Network—0
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks—0
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA FrameworkCode1
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion—0
Efficiently Identifying Task Groupings for Multi-Task Learning—0
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning ApproachCode0
ELIT: Emory Language and Information ToolkitCode1
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation—0
Speech Emotion Recognition with Multi-Task LearningCode1
Multitask Balanced and Recalibrated Network for Medical Code PredictionCode1
Transformer Models for Text Coherence AssessmentCode1
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering—0
A Multi-view Multi-task Learning Framework for Multi-variate Time Series ForecastingCode1
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and GenerationCode1
HunterSpeechLab at GermEval 2021: Does Your Comment Claim A Fact? Contextualized Embeddings for German Fact-Claiming Comment Classification—0
SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models—0
Private Multi-Task Learning: Formulation and Applications to Federated LearningCode0
MEDIC: A Multi-Task Learning Dataset for Disaster Image ClassificationCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
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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