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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 426–450 of 3687 papers

TitleStatusHype
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences—0
Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons—0
Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task ArithmeticCode1
MTL-Split: Multi-Task Learning for Edge Devices using Split ComputingCode1
OneDiff: A Generalist Model for Image Difference Captioning—0
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis—0
DMTG: One-Shot Differentiable Multi-Task GroupingCode0
YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem AugmentationCode3
7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition—0
A Self-Supervised Task for Fault Detection in Satellite Multivariate Time Series—0
A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning—0
Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from SpeechCode0
Multi-Task Domain Adaptation for Language Grounding with 3D Objects—0
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic SegmentationCode1
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling—0
ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization—0
Multi-Task Learning for Affect Analysis—0
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks—0
A Transformer-Based Multi-Stream Approach for Isolated Iranian Sign Language Recognition—0
Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields—0
MT2ST: Adaptive Multi-Task to Single-Task LearningCode1
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task IntegrationCode1
Self-Supervised Embeddings for Detecting Individual Symptoms of Depression—0
Star+: A New Multi-Domain Model for CTR Prediction—0
UniCoder: Scaling Code Large Language Model via Universal Code—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