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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3101–3150 of 3687 papers

TitleStatusHype
SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting—0
A Joint Learning Framework With BERT for Spoken Language Understanding—0
SLM as Guardian: Pioneering AI Safety with Small Language Models—0
Sluice Resolution without Hand-Crafted Features over Brittle Syntax Trees—0
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection—0
Small Towers Make Big Differences—0
SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing—0
SMTT: Novel Structured Multi-task Tracking with Graph-Regularized Sparse Representation for Robust Thermal Infrared Target Tracking—0
SOFARI: High-Dimensional Manifold-Based Inference—0
SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses—0
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation—0
Soft Representation Learning for Sparse Transfer—0
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems—0
SoilingNet: Soiling Detection on Automotive Surround-View Cameras—0
Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images—0
A high-precision underwater object detection based on joint self-supervised deblurring and improved spatial transformer network—0
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation—0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images—0
SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction—0
Sparse Bayesian Multi-Task Learning—0
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity—0
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners—0
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners—0
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction—0
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis—0
Decentralized Collaborative Learning with Probabilistic Data Protection—0
Decentralized Multi-Task Learning Based on Extreme Learning Machines—0
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data—0
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach—0
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns—0
Deconstructing Supertagging into Multi-Task Sequence Prediction—0
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share—0
Accelerating Meta-Learning by Sharing Gradients—0
SPARTA: Speaker Profiling for ARabic TAlk—0
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing—0
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning—0
When MAML Can Adapt Fast and How to Assist When It Cannot—0
Spatial Object Recommendation with Hints: When Spatial Granularity Matters—0
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images—0
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications—0
Deep Automated Multi-task Learning—0
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power—0
Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation—0
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction—0
Deep Clustering and Conventional Networks for Music Separation: Stronger Together—0
A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment—0
DCT-Centered Temporal Relation Extraction—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—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