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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 2051–2100 of 3687 papers

TitleStatusHype
On the relationship between disentanglement and multi-task learning—0
Self-Evolutionary Optimization for Pareto Front Learning—0
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings—0
SIRe-Networks: Convolutional Neural Networks Architectural Extension for Information Preservation via Skip/Residual Connections and Interlaced Auto-Encoders—0
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning—0
DistilHuBERT: Speech Representation Learning by Layer-wise Distillation of Hidden-unit BERTCode0
Multi-task Voice Activated Framework using Self-supervised Learning—0
Fast Line Search for Multi-Task Learning—0
Aspect-Based Sentiment Analysis and Singer Name Entity Recognition using Parameter Generation Network Based Transfer Learning—0
Exploiting Low-Resource Code-Switching Data to Mandarin-English Speech Recognition Systems—0
MMTL: The Meta Multi-Task Learning for Aspect Category Sentiment Analysis—0
Q-Learning Scheduler for Multi-Task Learning through the use of Histogram of Task Uncertainty—0
Inference-Time Personalized Federated Learning—0
Learning Predictive, Online Approximations of Explanatory, Offline Algorithms—0
Few-Shot Multi-task Learning via Implicit regularization—0
Privacy-preserving Task-Agnostic Vision Transformer for Image ProcessingCode0
Multi-Task Distribution Learning—0
LRN: Limitless Routing Networks for Effective Multi-task Learning—0
A Multi-Task Learning Algorithm for Non-personalized Recommendations—0
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning—0
Generative Modeling for Multitask Visual Learning—0
Generalizing Successor Features to continuous domains for Multi-task Learning—0
A Two-Stage Neural-Filter Pareto Front Extractor and the need for Benchmarking—0
DYNASHARE: DYNAMIC NEURAL NETWORKS FOR MULTI-TASK LEARNINGCode0
Joint Estimation of Multiple RF Impairments Using Deep Multi-Task Learning—0
Rethinking Rehearsal in Lifelong Learning: Does An Example Contribute the Plasticity or Stability?—0
Who speaks like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning—0
DeepAnalyze: Learning to Localize Crashes at Scale—0
Data Sharing without Rewards in Multi-Task Offline Reinforcement Learning—0
Pareto Navigation Gradient Descent: a First Order Algorithm for Optimization in Pareto Set—0
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition—0
DeepPSL: End-to-end perception and reasoning—0
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images—0
Consistency Training of Multi-exit Architectures for Sensor Data—0
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification—0
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task LearningCode0
Multi-task Learning with Domain Knowledge for Molecular Property Prediction—0
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role LabelingCode0
Comparison of single and multitask learning for predicting cognitive decline based on MRI dataCode0
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language—0
Improved optimization strategies for deep Multi-Task Networks—0
CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task—0
Lifelong Robotic Reinforcement Learning by Retaining Experiences—0
Multi-Task Learning in Natural Language Processing: An Overview—0
A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction AnalysisCode0
Machine Reading Comprehension: Generative or Extractive Reader?—0
A Bag of Tricks for Dialogue Summarization—0
Multi-Task Learning with Sequence-Conditioned Transporter Networks—0
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes—0
Explainable Identification of Dementia from Transcripts using Transformer 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