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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1101–1125 of 3687 papers

TitleStatusHype
Human Keypoint Detection by Progressive Context RefinementCode0
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function ClassesCode0
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data SynthesizationCode0
Hierarchical Multi-task learning framework for Isometric-Speech Language TranslationCode0
Out-of-Scope Domain and Intent Classification through Hierarchical Joint ModelingCode0
HeroNet: A Hybrid Retrieval-Generation Network for Conversational BotsCode0
Helping Visually Impaired People Take Better Quality PicturesCode0
AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task LearningCode0
Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI ScansCode0
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNNCode0
City classification from multiple real-world sound scenesCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task LearningCode0
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication AwarenessCode0
Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze BehaviourCode0
Dialogue Coherence Assessment Without Explicit Dialogue Act LabelsCode0
Exploring Correlations in Multiple Facial Attributes through Graph Attention NetworkCode0
Explainable Recommendation via Multi-Task Learning in Opinionated Text DataCode0
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural TextCode0
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised AttentionCode0
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem SolvingCode0
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and NormalizationCode0
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve GeneralizationCode0
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property PredictionCode0
Graph Neural Networks for Surfactant Multi-Property PredictionCode0
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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