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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
Robust Multi-Task Learning with Excess RisksCode0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
Image Aesthetic Assessment Assisted by Attributes through Adversarial LearningCode0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
Continual and Multi-Task Architecture SearchCode0
Routing Networks and the Challenges of Modular and Compositional ComputationCode0
A Joint Model for Definition Extraction with Syntactic Connection and Semantic ConsistencyCode0
Identification of Distorted RF Components via Deep Multi-Task LearningCode0
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural NetworksCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
Identification of Negative Transfers in Multitask Learning Using Surrogate ModelsCode0
Context-aware Multi-task Learning for Pedestrian Intent and Trajectory PredictionCode0
Scaling Manipulation Learning with Visual Kinematic Chain PredictionCode0
Emo2Vec: Learning Generalized Emotion Representation by Multi-task TrainingCode0
Context-Aware Embeddings for Automatic Art AnalysisCode0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
Emotion-Infused Models for Explainable Psychological Stress DetectionCode0
Multi-Task Learning Framework for Emotion Recognition in-the-wildCode0
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP TasksCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal BurstsCode0
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different DatasetsCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Identifying beneficial task relations for multi-task learning in deep neural networksCode0
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means FeaturesCode0
AnywhereDoor: Multi-Target Backdoor Attacks on Object DetectionCode0
Constrained Multi-Task Learning for Event Coreference ResolutionCode0
Constrained Multi-Task Learning for Bridging ResolutionCode0
AnywhereDoor: Multi-Target Backdoor Attacks on Object DetectionCode0
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender RecognitionCode0
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data AlignmentCode0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
Conic Multi-Task ClassificationCode0
Hybrid Losses for Hierarchical Embedding LearningCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
An Understanding-Oriented Robust Machine Reading Comprehension ModelCode0
Human Keypoint Detection by Progressive Context RefinementCode0
Concurrent Learning of Semantic RelationsCode0
An Overview of Multi-Task Learning in Deep Neural NetworksCode0
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data SynthesizationCode0
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function ClassesCode0
Adaptive and Robust Multi-Task LearningCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI ScansCode0
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative ExamplesCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
Compressed Hierarchical Representations for Multi-Task Learning and Task ClusteringCode0
Out-of-Scope Domain and Intent Classification through Hierarchical Joint ModelingCode0
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in SanskritCode0
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic TasksCode0
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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