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 276–300 of 3687 papers

TitleStatusHype
Towards Multi-Modal Mastery: A 4.5B Parameter Truly Multi-Modal Small Language Model—0
Deploying Multi-task Online Server with Large Language Model—0
Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts—0
ATM: Improving Model Merging by Alternating Tuning and Merging—0
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° ImagesCode0
MultiBalance: Multi-Objective Gradient Balancing in Industrial-Scale Multi-Task Recommendation System—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Residual Multi-Task Learner for Applied RankingCode0
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning—0
CopRA: A Progressive LoRA Training Strategy—0
The Effects of Multi-Task Learning on ReLU Neural Network FunctionsCode0
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging—0
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs—0
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models—0
STTATTS: Unified Speech-To-Text And Text-To-Speech ModelCode1
Together We Can: Multilingual Automatic Post-Editing for Low-Resource LanguagesCode0
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation—0
Multi-head Sequence Tagging Model for Grammatical Error CorrectionCode0
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries—0
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications—0
A Two-Stage Learning-to-Defer Approach for Multi-Task Learning—0
MIRA: A Method of Federated MultI-Task Learning for LaRge LAnguage Models—0
Hierarchical Conditional Multi-Task Learning for Streamflow Modeling—0
Dual-Label Learning With Irregularly Present Labels—0
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning—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