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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 1001–1050 of 3687 papers

TitleStatusHype
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation—0
Variational Offline Multi-agent Skill Discovery—0
Mixture of Latent Experts Using Tensor Products—0
Adversarial Attacks on Hidden Tasks in Multi-Task Learning—0
Leveraging knowledge distillation for partial multi-task learning from multiple remote sensing datasetsCode0
Efficient Multitask Dense Predictor via BinarizationCode0
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis—0
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning—0
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation—0
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback—0
LiPost: Improved Content Understanding With Effective Use of Multi-task Contrastive Learning—0
MTLComb: multi-task learning combining regression and classification tasks for joint feature selectionCode0
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image DatasetCode0
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data SynthesizationCode0
Multi-Task Learning for Fatigue Detection and Face Recognition of Drivers via Tree-Style Space-Channel Attention Fusion Network—0
Large Language Model-aided Edge Learning in Distribution System State Estimation—0
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurement—0
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender Prediction—0
Interpretable Multi-task Learning with Shared Variable Embeddings—0
Deep Multi-Task Learning for Malware Image Classification—0
Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion—0
Mitigating Clickbait: An Approach to Spoiler Generation Using Multitask Learning—0
MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition—0
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition—0
MTDT: A Multi-Task Deep Learning Digital Twin—0
Multi-task Learning-based Joint CSI Prediction and Predictive Transmitter Selection for Security—0
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting—0
Mixed Supervised Graph Contrastive Learning for Recommendation—0
EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification—0
Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management—0
Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
An Offline Reinforcement Learning Algorithm Customized for Multi-Task Fusion in Large-Scale Recommender Systems—0
TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches—0
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain—0
MOWA: Multiple-in-One Image Warping Model—0
Physical formula enhanced multi-task learning for pharmacokinetics prediction—0
Negation Triplet Extraction with Syntactic Dependency and Semantic ConsistencyCode0
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness—0
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning StrategiesCode0
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality—0
Structure-aware Fine-tuning for Code Pre-trained Models—0
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification—0
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism—0
Interplay of Machine Translation, Diacritics, and Diacritization—0
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications—0
Multi-Task Learning for Features Extraction in Financial Annual ReportsCode0
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in MemesCode0
Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation—0
Multi-Task Learning as enabler for General-Purpose AI-native RAN—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