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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 1401–1425 of 3687 papers

TitleStatusHype
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model—0
Inducing Optimal Attribute Representations for Conditional GANs—0
How Far Can We Go with Data Selection? A Case Study on Semantic Sequence Tagging Tasks—0
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?—0
How to Ask Good Questions? Try to Leverage Paraphrases—0
How to Parse a Creole: When Martinican Creole Meets French—0
ConceptDistil: Model-Agnostic Distillation of Concept Explanations—0
A high-precision underwater object detection based on joint self-supervised deblurring and improved spatial transformer network—0
FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning—0
HSEmotion Team at the 7th ABAW Challenge: Multi-Task Learning and Compound Facial Expression Recognition—0
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images—0
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking—0
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling—0
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training—0
Human Detection in Realistic Through-the-Wall Environments using Raw Radar ADC Data and Parametric Neural Networks—0
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference—0
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models—0
Accelerating Meta-Learning by Sharing Gradients—0
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning—0
HunterSpeechLab at GermEval 2021: Does Your Comment Claim A Fact? Contextualized Embeddings for German Fact-Claiming Comment Classification—0
Hybrid CNN-Transformer Model For Facial Affect Recognition In the ABAW4 Challenge—0
Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks—0
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles—0
Flexible Low-Rank Statistical Modeling with Side Information—0
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach—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