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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 2651–2700 of 3687 papers

TitleStatusHype
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms—0
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling—0
Multi-Task Learning in Histo-pathology for Widely Generalizable Model—0
Text Synopsis Generation for Egocentric Videos—0
Domain Aware Training for Far-field Small-footprint Keyword Spotting—0
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and ApplicationsCode0
Boundary-aware Context Neural Network for Medical Image SegmentationCode0
Understanding and Improving Information Transfer in Multi-Task Learning—0
Multi-Task Learning using AraBert for Offensive Language Detection—0
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning—0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations—0
Recurrent Interaction Network for Jointly Extracting Entities andClassifying Relations—0
Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields—0
When is Multi-task Learning Beneficial for Low-Resource Noisy Code-switched User-generated Algerian Texts?—0
Generative Adversarial Data Programming—0
Accurate Word Alignment Induction from Neural Machine TranslationCode0
Modeling Long Context for Task-Oriented Dialogue State Generation—0
Normalizing Compositional Structures Across Graphbanks—0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems—0
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction—0
Heterogeneous Representation Learning: A Review—0
Multi-task Ensembles with Crowdsourced Features Improve Skin Lesion DiagnosisCode0
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks—0
Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation—0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
Learning Gaussian Maps for Dense Object Detection—0
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning—0
CLOPS: Continual Learning of Physiological Signals—0
Data Poisoning Attacks on Federated Machine Learning—0
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts—0
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product CategoriesCode0
Unified Multi-Criteria Chinese Word Segmentation with BERT—0
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning—0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Pre-training Text Representations as Meta Learning—0
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases—0
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR—0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationCode0
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events—0
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning—0
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition—0
Vocoder-Based Speech Synthesis from Silent Videos—0
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas—0
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles—0
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection—0
Distributed Primal-Dual Optimization for Online Multi-Task Learning—0
Adversarial Transfer Learning for Punctuation Restoration—0
Improving out-of-distribution generalization via multi-task self-supervised pretraining—0
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning—0
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient DescentCode0
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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