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 23512400 of 3687 papers

TitleStatusHype
Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations0
Translation Quality Estimation by Jointly Learning to Score and Rank0
Towards Enhancing Faithfulness for Neural Machine Translation0
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement LearningCode1
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition0
PAL : Pretext-based Active Learning0
Measuring and Harnessing Transference in Multi-Task Learning0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning0
Polymer Informatics with Multi-Task Learning0
Leveraging speaker attribute information using multi task learning for speaker verification and diarizationCode1
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting0
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task LearningCode0
Byzantine Resilient Distributed Multi-Task LearningCode0
Multi-task Supervised Learning via Cross-learning0
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine TranslationCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
Speech enhancement aided end-to-end multi-task learning for voice activity detection0
Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised ModelsCode0
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers0
MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks0
Open-Domain Frame Semantic Parsing Using TransformersCode1
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog0
A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue GenerationCode1
A Federated Learning Approach to Anomaly Detection in Smart Buildings0
Pedestrian Intention Prediction: A Multi-task PerspectiveCode1
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES RepresentationCode0
Adversarial Training for Code Retrieval with Question-Description Relevance RegularizationCode0
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation0
Multi-task Learning of Negation and Speculation for Targeted Sentiment ClassificationCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
Aerodynamic Data Predictions Based on Multi-task Learning0
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns0
Multi-Task Learning for Cross-Lingual Abstractive Summarization0
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study0
Response Selection for Multi-Party Conversations withDynamic Topic Tracking0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures0
Controllable Pareto Multi-Task Learning0
Channel Type Recognition in Wireless Communications: A Deep Learning Approach0
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual ModelsCode1
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
Toward Micro-Dialect Identification in Diaglossic and Code-Switched EnvironmentsCode1
Audio-Visual Speech Inpainting with Deep Learning0
Age and Gender Prediction From Face Images Using Attentional Convolutional Network0
Learning the Pareto Front with HypernetworksCode1
Domain Adversarial Neural Networks for Dysarthric Speech Recognition0
The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling0
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation0
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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