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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 3201–3250 of 3687 papers

TitleStatusHype
Linguistically-Informed Self-Attention for Semantic Role LabelingCode0
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image SegmentationCode0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Emotion-Infused Models for Explainable Psychological Stress DetectionCode0
Image Aesthetic Assessment Assisted by Attributes through Adversarial LearningCode0
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in MemesCode0
Revisiting RCNN: On Awakening the Classification Power of Faster RCNNCode0
Neural Correction Model for Open-Domain Named Entity RecognitionCode0
LITE: Intent-based Task Representation Learning Using Weak SupervisionCode0
Revisiting the Loss Weight Adjustment in Object DetectionCode0
Convex Learning of Multiple Tasks and their StructureCode0
Revisit Multimodal Meta-Learning through the Lens of Multi-Task LearningCode0
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock PrintsCode0
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad CreativeCode0
A Multi-term and Multi-task Analyzing Framework for Affective Analysis in-the-wildCode0
Which Tasks Should Be Learned Together in Multi-task Learning?Code0
Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive ImpairmentCode0
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative DiseasesCode0
Identifying beneficial task relations for multi-task learning in deep neural networksCode0
Less is More: Selective Layer Finetuning with SubTuningCode0
Identification of Negative Transfers in Multitask Learning Using Surrogate ModelsCode0
RLBench: The Robot Learning Benchmark & Learning EnvironmentCode0
Identification of Distorted RF Components via Deep Multi-Task LearningCode0
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central ServerCode0
MUNBa: Machine Unlearning via Nash BargainingCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
Muppet: Massive Multi-task Representations with Pre-FinetuningCode0
MUSEFood: Multi-sensor-based Food Volume Estimation on SmartphonesCode0
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style GenerationCode0
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement LearningCode0
Ask Question First for Enhancing Lifelong Language LearningCode0
Emo2Vec: Learning Generalized Emotion Representation by Multi-task TrainingCode0
Continual and Multi-Task Architecture SearchCode0
A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction AnalysisCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Bayesian Neural Networks With Maximum Mean Discrepancy RegularizationCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence RetrievalCode0
Multi-treatment Effect Estimation from Biomedical DataCode0
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient ImagesCode0
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative ExamplesCode0
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-ExpertsCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic DatasetsCode0
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning ApproachCode0
Supervised Learning with Evolving Tasks and Performance GuaranteesCode0
Machine learning for structure-guided materials and process designCode0
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural NetworksCode0
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning StrategiesCode0
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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