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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 3451–3500 of 3687 papers

TitleStatusHype
Stock Index Prediction with Multi-task Learning and Word Polarity Over Time—0
A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement—0
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering—0
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality—0
Enhancing Handwritten Text Recognition with N-gram sequence decomposition and Multitask Learning—0
Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs—0
Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training—0
Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data—0
Cross-lingual Sentence Embedding using Multi-Task Learning—0
Enhancing Question Generation with Commonsense Knowledge—0
A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks—0
Enhancing Romanian Offensive Language Detection through Knowledge Distillation, Multi-Task Learning, and Data Augmentation—0
Enhancing Self-Attention with Knowledge-Assisted Attention Maps—0
Enhancing Visual Forced Alignment with Local Context-Aware Feature Extraction and Multi-Task Learning—0
Affective Behaviour Analysis via Progressive Learning—0
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning—0
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers—0
Environmental Noise Embeddings for Robust Speech Recognition—0
Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNets—0
Structural Supervision for Word Alignment and Machine Translation—0
Equitable Multi-task Learning—0
Cross Lingual Cross Corpus Speech Emotion Recognition—0
Structure-aware Fine-tuning for Code Pre-trained Models—0
ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization—0
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations—0
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning—0
Estimating Subjective Crowd-Evaluations as an Additional Objective to Improve Natural Language Generation—0
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks—0
Cross-domain Named Entity Recognition via Graph Matching—0
Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic Models—0
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation—0
Structured and Localized Image Restoration—0
Cross-connected Networks for Multi-task Learning of Detection and Segmentation—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images—0
Structured low-rank matrix learning: algorithms and applications—0
Evolving Losses for Unlabeled Video Representation Learning—0
Evolving Losses for Unsupervised Video Representation Learning—0
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning—0
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making—0
Exceeding the Limits of Visual-Linguistic Multi-Task Learning—0
Exclusive Sparsity Norm Minimization with Random Groups via Cone Projection—0
Experimental Results of Underwater Sound Speed Profile Inversion by Few-shot Multi-task Learning—0
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images—0
Explainable Identification of Dementia from Transcripts using Transformer Networks—0
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation—0
Affective Behavior Analysis using Task-adaptive and AU-assisted Graph Network—0
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval—0
Explaining Models of Mental Health via Clinically Grounded Auxiliary Tasks—0
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports—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