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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

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Showing 851–875 of 3687 papers

TitleStatusHype
Hierarchical Multi-Task Learning Framework for Session-based Recommendations—0
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling—0
Phase-Specific Augmented Reality Guidance for Microscopic Cataract Surgery Using Long-Short Spatiotemporal Aggregation Transformer—0
Continual Robot Learning using Self-Supervised Task Inference—0
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task LearningCode0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
MyoDex: A Generalizable Prior for Dexterous Manipulation—0
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-RankingCode0
A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation OffloadingCode1
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients—0
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data—0
Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information—0
Alleviating Video-Length Effect for Micro-video Recommendation—0
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation—0
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective—0
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning—0
BridgeData V2: A Dataset for Robot Learning at ScaleCode2
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented DialogueCode0
MultiPA: A Multi-task Speech Pronunciation Assessment Model for Open Response Scenarios—0
Label Budget Allocation in Multi-Task Learning—0
Less is More -- Towards parsimonious multi-task models using structured sparsityCode0
Dual-Balancing for Multi-Task Learning—0
Critical Learning Periods Emerge Even in Deep Linear NetworksCode0
Multi-Objective Optimization for Sparse Deep Multi-Task LearningCode1
OFVL-MS: Once for Visual Localization across Multiple Indoor ScenesCode1
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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