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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 3687 papers

TitleStatusHype
Leveraging Language Representation for Material Recommendation, Ranking, and ExplorationCode1
MTC: A Multi-Task Model for Encrypted Network Traffic Classification Based on Transformer and 1D-CNNCode1
π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task InterpolationCode1
MetaBEV: Solving Sensor Failures for BEV Detection and Map SegmentationCode1
Magnitude Invariant Parametrizations Improve Hypernetwork LearningCode1
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in RecommendationsCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty EstimationCode1
Towards Flexible Multi-modal Document ModelsCode1
Self-distillation for surgical action recognitionCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
Predictive Experience Replay for Continual Visual Control and ForecastingCode1
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information ExtractionCode1
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal LearningCode1
Searching for Effective Neural Network Architectures for Heart Murmur Detection from PhonocardiogramCode1
Compressed Interaction Graph based Framework for Multi-behavior RecommendationCode1
Image-Based and Partially Categorical Annotating Approach for Pedestrian Attribute RecognitionCode1
Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech SeparationCode1
Recon: Reducing Conflicting Gradients from the Root for Multi-Task LearningCode1
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech RecognitionCode1
Lip-to-Speech Synthesis in the Wild with Multi-task LearningCode1
Extraction of cropland field parcels with high resolution remote sensing using multi-task learningCode1
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender SystemCode1
Multi-Task Recommendations with Reinforcement LearningCode1
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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