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 1826–1850 of 3687 papers

TitleStatusHype
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings—0
Camera Calibration through Camera Projection LossCode1
Self-Evolutionary Optimization for Pareto Front Learning—0
On the relationship between disentanglement and multi-task learning—0
SIRe-Networks: Convolutional Neural Networks Architectural Extension for Information Preservation via Skip/Residual Connections and Interlaced Auto-Encoders—0
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning—0
DistilHuBERT: Speech Representation Learning by Layer-wise Distillation of Hidden-unit BERTCode0
Multi-task Voice Activated Framework using Self-supervised Learning—0
Fast Line Search for Multi-Task Learning—0
SurvTRACE: Transformers for Survival Analysis with Competing EventsCode1
MMTL: The Meta Multi-Task Learning for Aspect Category Sentiment Analysis—0
Exploiting Low-Resource Code-Switching Data to Mandarin-English Speech Recognition Systems—0
Aspect-Based Sentiment Analysis and Singer Name Entity Recognition using Parameter Generation Network Based Transfer Learning—0
A Multi-Task Learning Algorithm for Non-personalized Recommendations—0
A Two-Stage Neural-Filter Pareto Front Extractor and the need for Benchmarking—0
DYNASHARE: DYNAMIC NEURAL NETWORKS FOR MULTI-TASK LEARNINGCode0
Q-Learning Scheduler for Multi-Task Learning through the use of Histogram of Task Uncertainty—0
Learning Predictive, Online Approximations of Explanatory, Offline Algorithms—0
Privacy-preserving Task-Agnostic Vision Transformer for Image ProcessingCode0
Inference-Time Personalized Federated Learning—0
Pareto Navigation Gradient Descent: a First Order Algorithm for Optimization in Pareto Set—0
Multi-Task Distribution Learning—0
LRN: Limitless Routing Networks for Effective Multi-task Learning—0
Few-Shot Multi-task Learning via Implicit regularization—0
Data Sharing without Rewards in Multi-Task Offline Reinforcement 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