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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 3301–3350 of 3687 papers

TitleStatusHype
Meta-NeighborhoodsCode0
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual AdaptersCode0
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task LearningCode0
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised AttentionCode0
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature ExtractionCode0
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property PredictionCode0
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor SegmentationCode0
Constrained Multi-Task Learning for Bridging ResolutionCode0
Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze BehaviourCode0
Noise-aware Physics-informed Machine Learning for Robust PDE DiscoveryCode0
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive LearningCode0
Conic Multi-Task ClassificationCode0
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNNCode0
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication AwarenessCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve GeneralizationCode0
Efficient Computation Sharing for Multi-Task Visual Scene UnderstandingCode0
Concurrent Learning of Semantic RelationsCode0
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive DecodingCode0
SYNCS: Synthetic Data and Contrastive Self-Supervised Training for Central Sulcus SegmentationCode0
Group Buying Recommendation Model Based on Multi-task LearningCode0
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity DetectionCode0
Min-Max Bilevel Multi-objective Optimization with Applications in Machine LearningCode0
Nonparametric variable importance using an augmented neural network with multi-task learningCode0
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality DetectionCode0
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local PerturbationCode0
Sample-Level Weighting for Multi-Task Learning with Auxiliary TasksCode0
Graph Star Net for Generalized Multi-Task LearningCode0
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5Code0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
Graph Neural Networks for Surfactant Multi-Property PredictionCode0
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentationCode0
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal RegressionCode0
Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language DetectionCode0
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable PrimitivesCode0
Auxiliary Quantile Forecasting with Linear NetworksCode0
Compressed Hierarchical Representations for Multi-Task Learning and Task ClusteringCode0
NUT-RC: Noisy User-generated Text-oriented Reading ComprehensionCode0
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task LearningCode0
Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance LearningCode0
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncodersCode0
A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEsCode0
Towards Viewpoint Invariant 3D Human Pose EstimationCode0
Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning ApproachCode0
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to ScaleCode0
DYNASHARE: DYNAMIC NEURAL NETWORKS FOR MULTI-TASK LEARNINGCode0
Graph-based Knowledge Distillation by Multi-head Attention NetworkCode0
Adversarial Training for Code Retrieval with Question-Description Relevance RegularizationCode0
Dynamic Multi-Task Learning for Face Recognition with Facial ExpressionCode0
MLT-LE: predicting drug-target binding affinity with multi-task residual neural networksCode0
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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