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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2151–2200 of 3687 papers

TitleStatusHype
Towards Invariant Soft Biometrics from Electrocardiograms—0
Towards Language-Universal End-to-End Speech Recognition—0
Towards Multi-Modal Mastery: A 4.5B Parameter Truly Multi-Modal Small Language Model—0
Towards Principled Task Grouping for Multi-Task Learning—0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data—0
Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning—0
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking—0
Towards Transparent and Accurate Plasma State Monitoring at JET—0
Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons—0
Towards Unification of Discourse Annotation Frameworks—0
Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling—0
Towards Unified Prompt Tuning for Few-shot Learning—0
Towards Unified Prompt Tuning for Few-shot Text Classification—0
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond—0
Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network—0
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning—0
TRACE: Transformer-based user Representations from Attributed Clickstream Event sequences—0
Traffic Sign Interpretation in Real Road Scene—0
Auxiliary Learning for Deep Multi-task Learning—0
Training ELECTRA Augmented with Multi-word Selection—0
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation—0
Training Medical Image Analysis Systems like Radiologists—0
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings—0
MIMT: Multi-Illuminant Color Constancy via Multi-Task Local Surface and Light Color Learning—0
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models—0
Transductive Learning for Multi-Task Copula Processes—0
Transductive Matrix Completion with Calibration for Multi-Task Learning—0
Transferable Multi-level Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multi-task Learning—0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—0
Transfer Learning and Augmentation for Word Sense Disambiguation—0
Transfer Learning for Speech and Language Processing—0
Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection—0
Transfer Learning from Partial Annotations for Whole Brain Segmentation—0
Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors—0
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging—0
Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images—0
Transformative Machine Learning—0
Transformer-based Approach for Predicting Chemical Compound Structures—0
Transformer-based Multimodal Information Fusion for Facial Expression Analysis—0
Transformer-based Multi-Task Learning for Adverse Effect Mention Analysis in Tweets—0
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation—0
Transitive Invariance for Self-supervised Visual Representation Learning—0
Translation Quality Estimation by Jointly Learning to Score and Rank—0
Transparent text quality assessment with convolutional neural networks—0
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks—0
Interacting with Explanations through Critiquing—0
Tree DNN: A Deep Container Network—0
Tricks for Training Sparse Translation Models—0
TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval—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