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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 1601–1650 of 3687 papers

TitleStatusHype
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers—0
Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations—0
Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain GapCode1
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks—0
SkillNet-NLU: A Sparsely Activated Model for General-Purpose Natural Language Understanding—0
On Steering Multi-Annotations per Sample for Multi-Task Learning—0
Look\&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech EnhancementCode1
Min-Max Bilevel Multi-objective Optimization with Applications in Machine LearningCode0
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language ModelsCode1
Fine-grained Urban Flow Inference with Incomplete DataCode0
HyperPrompt: Prompt-based Task-Conditioning of Transformers—0
Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images—0
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea DetectionCode1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method—0
Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images—0
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression—0
NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions—0
The Reality of Multi-Lingual Machine Translation—0
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising—0
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
Visual-Tactile Sensing for Real-time Liquid Volume Estimation in Grasping—0
Structured Multi-task Learning for Molecular Property PredictionCode1
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges—0
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks—0
Multi-task Representation Learning with Stochastic Linear Bandits—0
Cross-Task Knowledge Distillation in Multi-Task Recommendation—0
AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification—0
Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation—0
Cross-Silo Heterogeneous Model Federated Multitask LearningCode0
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray ImagesCode1
Trace norm regularization for multi-task learning with scarce dataCode0
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming SequencesCode1
Audio-Visual Fusion Layers for Event Type Aware Video Recognition—0
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation—0
Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning—0
Bench-Marking And Improving Arabic Automatic Image Captioning Through The Use Of Multi-Task Learning Paradigm—0
A Multi-task Learning Framework for Product Ranking with BERT—0
Adaptive and Robust Multi-Task LearningCode0
A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting—0
Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling—0
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systemsCode1
ASR-Aware End-to-end Neural Diarization—0
Multi-Task Learning as a Bargaining GameCode2
Active Multi-Task Representation Learning—0
Molecular Representation Learning via Heterogeneous Motif Graph Neural NetworksCode1
Multi-Order Networks for Action Unit Detection—0
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph NetworksCode1
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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