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 751–775 of 3687 papers

TitleStatusHype
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data—0
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationCode1
Multitask Kernel-based Learning with First-Order Logic Constraints—0
Synthetic Tumor Manipulation: With Radiomics Features—0
MFTCoder: Boosting Code LLMs with Multitask Fine-TuningCode2
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation—0
SE Territory: Monaural Speech Enhancement Meets the Fixed Virtual Perceptual Space Mapping—0
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based RecommendationCode0
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement LearningCode0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation—0
Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual LossCode0
Learning to optimize by multi-gradient for multi-objective optimization—0
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning—0
Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving—0
Optimizing accuracy and diversity: a multi-task approach to forecast combinations—0
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing—0
GaitFormer: Learning Gait Representations with Noisy Multi-Task LearningCode1
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition—0
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints—0
Episodic Multi-Task Learning with Heterogeneous Neural ProcessesCode0
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge DistillationCode0
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation—0
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training—0
Open Knowledge Base Canonicalization with Multi-task Unlearning—0
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models—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