SOTAVerified

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

Showing 33263350 of 3687 papers

TitleStatusHype
Strong Baselines for Neural Semi-supervised Learning under Domain ShiftCode0
Scheduled Multi-Task Learning: From Syntax to Translation0
Linguistically-Informed Self-Attention for Semantic Role LabelingCode0
Taskonomy: Disentangling Task Transfer LearningCode0
Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks0
Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks0
Pix3D: Dataset and Methods for Single-Image 3D Shape ModelingCode0
Multi-Task Learning for Argumentation Mining in Low-Resource SettingsCode0
A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction0
Linguistically-Informed Self-Attention for Semantic Role Labeling0
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning0
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach0
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval0
Speaker-Invariant Training via Adversarial Learning0
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task LearningCode0
Deep Cascade Multi-task Learning for Slot Filling in Online Shopping AssistantCode0
End-to-End Multi-Task Learning with AttentionCode1
Unsupervised Domain Adaptation: A Multi-task Learning-based Method0
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions0
Revisiting RCNN: On Awakening the Classification Power of Faster RCNNCode0
The ApolloScape Open Dataset for Autonomous Driving and its ApplicationCode1
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled DataCode0
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation0
Neural Aesthetic Image Reviewer0
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified