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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 3101–3150 of 3687 papers

TitleStatusHype
Location-Centered House Price Prediction: A Multi-Task Learning Approach—0
Speaker Adaptation for End-to-End CTC Models—0
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization—0
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation—0
Image Aesthetic Assessment Assisted by Attributes through Adversarial LearningCode0
An Active Learning Framework for Efficient Robust Policy Search—0
A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing—0
Multi-task Prediction of Patient Workload—0
CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients—0
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling—0
Multi-task learning to improve natural language understanding—0
Multi-Tasking Genetic Algorithm (MTGA) for Fuzzy System OptimizationCode0
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and NormalizationCode0
Identity-Enhanced Network for Facial Expression Recognition—0
Intelligent optical performance monitor using multi-task learning based artificial neural network—0
A Deep Multi-task Learning Approach to Skin Lesion Classification—0
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition—0
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question AnsweringCode0
Multi-task Learning of Hierarchical Vision-Language Representation—0
A multi-task deep learning model for the classification of Age-related Macular Degeneration—0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition—0
On the Transferability of Representations in Neural Networks Between Datasets and Tasks—0
Using deep learning to predict soil properties from regional spectral data—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration—0
Multi-task Learning over Graph Structures—0
A Novel Technique for Evidence based Conditional Inference in Deep Neural Networks via Latent Feature Perturbation—0
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their RelationshipCode0
Multi-Task Learning of Generalizable Representations for Video Action Recognition—0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification—0
Neural Multi-Task Learning for Citation Function and ProvenanceCode0
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction—0
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property PredictionCode0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic TasksCode0
Multi-task learning for Joint Language Understanding and Dialogue State Tracking—0
Co-Representation Learning For Classification and Novel Class Detection via Deep Networks—0
A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions—0
Transformative Machine Learning—0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Multi-Task Graph AutoencodersCode0
Off-the-Shelf Unsupervised NMT—0
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation—0
Learning Shared Dynamics with Meta-World Models—0
Improving Span-based Question Answering Systems with Coarsely Labeled Data—0
Language-Independent Representor for Neural Machine Translation—0
An End-to-End Multi-task Learning Model for Fact Checking—0
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks—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