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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 2601–2650 of 3687 papers

TitleStatusHype
Normalizing Compositional Structures Across Graphbanks—0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems—0
Modeling Long Context for Task-Oriented Dialogue State Generation—0
Multi-task Ensembles with Crowdsourced Features Improve Skin Lesion DiagnosisCode0
Multi-Task Learning for Dense Prediction Tasks: A SurveyCode1
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language DetectionCode1
Heterogeneous Representation Learning: A Review—0
Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation—0
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less ForgettingCode1
Empirical Bayes Transductive Meta-Learning with Synthetic GradientsCode1
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks—0
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and SummarizationCode1
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
SpEx: Multi-Scale Time Domain Speaker Extraction NetworkCode1
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
Meta-Learning in Neural Networks: A SurveyCode1
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR—0
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events—0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationCode0
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning—0
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition—0
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question AnsweringCode1
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion SegmentationCode1
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas—0
Vocoder-Based Speech Synthesis from Silent Videos—0
Deep Homography Estimation for Dynamic ScenesCode1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment AnalysisCode1
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object TrackingCode1
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles—0
Distributed Primal-Dual Optimization for Online Multi-Task Learning—0
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection—0
Adversarial Transfer Learning for Punctuation Restoration—0
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task LearningCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
Multi-Task Reinforcement Learning with Soft ModularizationCode1
Improving out-of-distribution generalization via multi-task self-supervised pretraining—0
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
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
Multi-Task Learning Enhanced Single Image De-RainingCode0
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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