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 1201–1225 of 3687 papers

TitleStatusHype
Few-Shot Preference Learning for Human-in-the-Loop RL—0
Statistical mechanics of continual learning: variational principle and mean-field potentialCode0
Auxiliary Quantile Forecasting with Linear NetworksCode0
Speech MOS multi-task learning and rater bias correction—0
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning—0
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in MemesCode1
Optical multi-task learning using multi-wavelength diffractive deep neural networks—0
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learningCode1
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition—0
Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss—0
Découvrir de nouvelles classes dans des données tabulairesCode0
Semisoft Task Clustering for Multi-Task Learning—0
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning—0
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene UnderstandingCode0
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task LearningCode0
Group Buying Recommendation Model Based on Multi-task LearningCode0
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation RecognitionCode1
Multi-Task Learning of Object State Changes from Uncurated VideosCode1
Improving Multi-task Learning via Seeking Task-based Flat Regions—0
Unified Multimodal Model with Unlikelihood Training for Visual DialogCode1
Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies—0
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning—0
Multi-task Learning for Camera CalibrationCode1
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning ParadigmCode0
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings—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