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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 1101–1150 of 3687 papers

TitleStatusHype
Artificial Intelligence for Dementia Research Methods Optimization—0
Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal imagesCode0
Multi-Task Self-Supervised Time-Series Representation Learning—0
Multi-task neural networks by learned contextual inputs—0
MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation—0
Image-Based and Partially Categorical Annotating Approach for Pedestrian Attribute RecognitionCode1
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection—0
Scalable Attribution of Adversarial Attacks via Multi-Task Learning—0
TUTORING: Instruction-Grounded Conversational Agent for Language Learners—0
A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement—0
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation—0
Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech SeparationCode1
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks—0
Recon: Reducing Conflicting Gradients from the Root for Multi-Task LearningCode1
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech RecognitionCode1
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network—0
Device Tuning for Multi-Task Large Model—0
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis—0
Transductive Matrix Completion with Calibration for Multi-Task Learning—0
RobustDistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness—0
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning—0
Lip-to-Speech Synthesis in the Wild with Multi-task LearningCode1
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?—0
Multi-Task Differential Privacy Under Distribution Skew—0
Extraction of cropland field parcels with high resolution remote sensing using multi-task learningCode1
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity DetectionCode0
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding—0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
Less is More: Selective Layer Finetuning with SubTuningCode0
Parameter-efficient Modularised Bias Mitigation via AdapterFusionCode0
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender SystemCode1
Multi-Task Deep Recommender Systems: A Survey—0
Multi-Task Recommendations with Reinforcement LearningCode1
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary TasksCode0
Multi-Task Self-Supervised Learning for Image Segmentation Task—0
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property PredictionCode0
Multi-Task Learning for Screen Content Image CodingCode0
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning—0
Unifying Molecular and Textual Representations via Multi-task Language ModellingCode1
HeroNet: A Hybrid Retrieval-Generation Network for Conversational BotsCode0
Multi-task Highly Adaptive Lasso—0
Pre-training for Speech Translation: CTC Meets Optimal TransportCode1
Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification—0
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary StudyCode0
Regularizing disparity estimation via multi task learning with structured light reconstruction—0
tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and EvaluationCode1
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning—0
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense PredictionCode1
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation GeneralizationCode0
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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