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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 776–800 of 3687 papers

TitleStatusHype
Task Grouping for Automated Multi-Task Machine Learning via Task Affinity Prediction—0
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding—0
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual PromptCode0
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural TextCode0
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity RecognitionCode1
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical ApplicationsCode1
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning—0
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes—0
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation—0
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task LearningCode1
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal MechanismsCode0
Experimental Results of Underwater Sound Speed Profile Inversion by Few-shot Multi-task Learning—0
DCRNN: A Deep Cross approach based on RNN for Partial Parameter Sharing in Multi-task Learning—0
Prototype-based HyperAdapter for Sample-Efficient Multi-task TuningCode0
Learning quantum properties from short-range correlations using multi-task networks—0
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task LearningCode0
Learning visual-based deformable object rearrangement with local graph neural networksCode0
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems—0
New Advances in Body Composition Assessment with ShapedNet: A Single Image Deep Regression Approach—0
Federated Multi-Objective Learning—0
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningCode7
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning—0
Mitigating Bias for Question Answering Models by Tracking Bias Influence—0
Scalarization for Multi-Task and Multi-Domain Learning at Scale—0
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images—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