SOTAVerified

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

Showing 301350 of 3687 papers

TitleStatusHype
A Unified Span-Based Approach for Opinion Mining with Syntactic ConstituentsCode1
Gradient Surgery for Multi-Task LearningCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
Grounding Psychological Shape Space in Convolutional Neural NetworksCode1
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learningCode1
Hand Image Understanding via Deep Multi-Task LearningCode1
Camera Calibration through Camera Projection LossCode1
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic ControlCode1
Hierarchical Multi-Label Classification of Scientific DocumentsCode1
Hierarchical Pronunciation Assessment with Multi-Aspect AttentionCode1
AdaMerging: Adaptive Model Merging for Multi-Task LearningCode1
Cascading Residual Graph Convolutional Network for Multi-Behavior RecommendationCode1
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task LearningCode1
CentralNet: a Multilayer Approach for Multimodal FusionCode1
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationCode1
Large Scale Holistic Video UnderstandingCode1
A Knowledge-Enhanced Pretraining Model for Commonsense Story GenerationCode1
Causal Inference for Chatting HandoffCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task LearningCode1
A Large Scale Search Dataset for Unbiased Learning to RankCode1
A Recurrent Vision-and-Language BERT for NavigationCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary TaskCode1
Improving evidential deep learning via multi-task learningCode1
Extraction of cropland field parcels with high resolution remote sensing using multi-task learningCode1
Federated Multi-Task Learning under a Mixture of DistributionsCode1
A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue GenerationCode1
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based RecommendationCode1
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming SequencesCode1
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and GenerationCode1
Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationCode1
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object TrackingCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
Compressed Context Memory For Online Language Model InteractionCode1
Compressed Interaction Graph based Framework for Multi-behavior RecommendationCode1
JIST: Joint Image and Sequence Training for Sequential Visual Place RecognitionCode1
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement LearningCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
Conflict-Averse Gradient Descent for Multi-task LearningCode1
Explain and Predict, and then Predict AgainCode1
Evaluating Logical Generalization in Graph Neural NetworksCode1
Context-Aware Answer Extraction in Question AnsweringCode1
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language DetectionCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task IntegrationCode1
Continual Learning in Task-Oriented Dialogue SystemsCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified