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 3276–3300 of 3687 papers

TitleStatusHype
Efficient Multitask Dense Predictor via BinarizationCode0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian ProcessesCode0
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means FeaturesCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and ApplicationsCode0
AXNet: ApproXimate computing using an end-to-end trainable neural networkCode0
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data SynthesizationCode0
Routing Networks and the Challenges of Modular and Compositional ComputationCode0
MELA: Multilingual Evaluation of Linguistic AcceptabilityCode0
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function ClassesCode0
Constrained Multi-Task Learning for Event Coreference ResolutionCode0
Hierarchical Multi-task learning framework for Isometric-Speech Language TranslationCode0
Out-of-Scope Domain and Intent Classification through Hierarchical Joint ModelingCode0
Neural Multi-Task Learning for Citation Function and ProvenanceCode0
HeroNet: A Hybrid Retrieval-Generation Network for Conversational BotsCode0
Multi-task Meta Label Correction for Time Series PredictionCode0
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level OptimizationCode0
RT-SRTS: Angle-Agnostic Real-Time Simultaneous 3D Reconstruction and Tumor Segmentation from Single X-Ray ProjectionCode0
Helping Visually Impaired People Take Better Quality PicturesCode0
Auxiliary Tasks in Multi-task LearningCode0
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum LearningCode0
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive TranslatorsCode0
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysisCode0
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
NeurReg: Neural Registration and Its Application to Image SegmentationCode0
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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