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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 1751–1800 of 3687 papers

TitleStatusHype
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning—0
Intent Discovery for Enterprise Virtual Assistants: Applications of Utterance Embedding and Clustering to Intent Mining—0
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy—0
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data—0
A Unified Architecture for Semantic Role Labeling and Relation Classification—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Learning Multiple Tasks with Multilinear Relationship Networks—0
Learning Multiple Visual Tasks while Discovering their Structure—0
Intelligent optical performance monitor using multi-task learning based artificial neural network—0
Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning—0
Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding—0
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels—0
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation—0
Learning Predictive, Online Approximations of Explanatory, Offline Algorithms—0
Learning Rates for Multi-task Regularization Networks—0
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images—0
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain—0
Learning representations for sentiment classification using Multi-task framework—0
Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era—0
Learning Shared Dynamics with Meta-World Models—0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
Integrated Replay Spoofing-aware Text-independent Speaker Verification—0
Learning Task Grouping and Overlap in Multi-task Learning—0
Learning Task Relatedness in Multi-Task Learning for Images in Context—0
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems—0
DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography—0
Learning to Branch for Multi-Task Learning—0
A Unified Approach to Kinship Verification—0
A Deep Multi-task Learning Approach to Skin Lesion Classification—0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
Learning to Generate Questions by Learning What not to Generate—0
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework—0
In Situ Answer Sentence Selection at Web-scale—0
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?—0
Learning to Jointly Generate and Separate Reflections—0
Learning to Learn Weight Generation via Local Consistency Diffusion—0
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty—0
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs—0
Injecting Imbalance Sensitivity for Multi-Task Learning—0
Learning to Multi-Task Learn for Better Neural Machine Translation—0
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition—0
Learning to optimize by multi-gradient for multi-objective optimization—0
Information Transfer in Multi-Task Learning—0
Learning to Profile: User Meta-Profile Network for Few-Shot Learning—0
Learning to Push by Grasping: Using multiple tasks for effective learning—0
Learning to Recommend with Multiple Cascading Behaviors—0
Deeply Learned Attributes for Crowded Scene Understanding—0
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction—0
Infinite-Task Learning with RKHSs—0
Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes—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