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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 1001–1050 of 3687 papers

TitleStatusHype
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text TranslationCode1
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey—0
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLPCode0
Regularization Through Simultaneous Learning: A Case Study on Plant Classification—0
Multi-task Hierarchical Adversarial Inverse Reinforcement LearningCode1
Transferring Fairness using Multi-Task Learning with Limited Demographic Information—0
TaskWeb: Selecting Better Source Tasks for Multi-task NLPCode0
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
Multi-Task Models Adversarial AttacksCode0
A New Benchmark of Aphasia Speech Recognition and Detection Based on E-Branchformer and Multi-task Learning—0
A Multi-Task Learning Framework for Sound Event Detection using High-level Acoustic Characteristics of Sounds—0
Instruction Tuned Models are Quick LearnersCode0
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization—0
When is an SHM problem a Multi-Task-Learning problem?—0
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate SequencesCode0
Multi-task convolutional neural network for image aesthetic assessment—0
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning—0
Understanding and Bridging the Modality Gap for Speech TranslationCode1
Helping Visually Impaired People Take Better Quality PicturesCode0
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning—0
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture—0
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous drivingCode1
Leveraging Language Representation for Material Recommendation, Ranking, and ExplorationCode1
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning—0
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and RemovalCode0
MTC: A Multi-Task Model for Encrypted Network Traffic Classification Based on Transformer and 1D-CNNCode1
An Extensible Multimodal Multi-task Object Dataset with Materials—0
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationCode0
UCF: Uncovering Common Features for Generalizable Deepfake DetectionCode3
π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task InterpolationCode1
Multi-Task Learning Regression via Convex Clustering—0
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing—0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial ReportsCode0
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture—0
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion—0
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource AllocationCode0
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge—0
MetaBEV: Solving Sensor Failures for BEV Detection and Map SegmentationCode1
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning—0
AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task LearningCode0
AutoSTL: Automated Spatio-Temporal Multi-Task Learning—0
Magnitude Invariant Parametrizations Improve Hypernetwork LearningCode1
Directly Optimizing IoU for Bounding Box Localization—0
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in RecommendationsCode1
iPINNs: Incremental learning for Physics-informed neural networks—0
RoboPianist: Dexterous Piano Playing with Deep Reinforcement LearningCode2
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing—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