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 2601–2625 of 3687 papers

TitleStatusHype
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation—0
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications—0
Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation—0
Model Transfer with Explicit Knowledge of the Relation between Class Definitions—0
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information—0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners—0
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners—0
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning—0
MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning—0
More diverse more adaptive: Comprehensive Multi-task Learning for Improved LLM Domain Adaptation in E-commerce—0
More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations—0
MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models—0
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning—0
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation—0
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm—0
MOWA: Multiple-in-One Image Warping Model—0
MPSA-DenseNet: A novel deep learning model for English accent classification—0
MRC-based Medical NER with Multi-task Learning and Multi-strategies—0
MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes—0
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events—0
MT3DNet: Multi-Task learning Network for 3D Surgical Scene Reconstruction—0
MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers—0
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation—0
MTDT: A Multi-Task Deep Learning Digital Twin—0
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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