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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 3201–3250 of 3687 papers

TitleStatusHype
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
Deep Neural Network for Blind Visual Quality Assessment of 4K Content—0
Deep Nonlinear Hyperspectral Unmixing Using Multi-task Learning—0
Deep Octonion Networks—0
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning—0
Deep Prompt Multi-task Network for Abuse Language Detection—0
DeepPSL: End-to-end perception and reasoning—0
deep-REMAP: Parameterization of Stellar Spectra Using Regularized Multi-Task Learning—0
deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets—0
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection—0
3D Instance Segmentation via Multi-Task Metric Learning—0
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis—0
Deep Structured Output Learning for Unconstrained Text Recognition—0
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation—0
Data Poisoning Attacks on Federated Machine Learning—0
Speaker-Distinguishable CTC: Learning Speaker Distinction Using CTC for Multi-Talker Speech Recognition—0
Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation—0
Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning—0
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs—0
Speaker-Invariant Training via Adversarial Learning—0
Delving into 3D Action Anticipation from Streaming Videos—0
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction—0
Speech as a Multimodal Digital Phenotype for Multi-Task LLM-based Mental Health Prediction—0
Data Enrichment: Multi-task Learning in High Dimension with Theoretical Guarantees—0
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models—0
SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation—0
Dependency Parsing as Sequence Labeling with Head-Based Encoding and Multi-Task Learning—0
Dependent Multi-Task Learning with Causal Intervention for Image Captioning—0
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning—0
Deploying Multi-task Online Server with Large Language Model—0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
Depth Is All You Need for Monocular 3D Detection—0
Derivative Free Weight-space Ensembling—0
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Design Perspectives of Multitask Deep Learning Models and Applications—0
Variational Federated Multi-Task Learning—0
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures—0
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling—0
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing—0
Detecting Concealed Information in Text and Speech—0
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0—0
Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—0
Speech enhancement aided end-to-end multi-task learning for voice activity detection—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Database Search Results Disambiguation for Task-Oriented Dialog Systems—0
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information—0
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction—0
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning—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