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 151–175 of 3687 papers

TitleStatusHype
WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication—0
Multi-task Online Learning for Probabilistic Load Forecasting—0
A Multi-Task Learning Approach to Linear Multivariate ForecastingCode1
Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning—0
Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationCode1
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm—0
Learning to Learn Weight Generation via Local Consistency Diffusion—0
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization PerspectiveCode3
Controllable Neural Architectures for Multi-Task Control—0
From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task LearningCode0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
Citation Recommendation based on Argumentative Zoning of User Queries—0
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance—0
Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning—0
Towards Explainable Multimodal Depression Recognition for Clinical InterviewsCode0
Stepback: Enhanced Disentanglement for Voice Conversion via Multi-Task Learning—0
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning—0
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential RecommendationCode1
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech RepresentationCode1
ReasVQA: Advancing VideoQA with Imperfect Reasoning Process—0
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question AnsweringCode0
Hybrid Losses for Hierarchical Embedding LearningCode0
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning—0
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and BeyondCode7
ColNet: Collaborative Optimization in Decentralized Federated Multi-task Learning Systems—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