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

Showing 32263250 of 3687 papers

TitleStatusHype
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
Muppet: Massive Multi-task Representations with Pre-FinetuningCode0
MUSEFood: Multi-sensor-based Food Volume Estimation on SmartphonesCode0
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style GenerationCode0
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement LearningCode0
Ask Question First for Enhancing Lifelong Language LearningCode0
Emo2Vec: Learning Generalized Emotion Representation by Multi-task TrainingCode0
Continual and Multi-Task Architecture SearchCode0
A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction AnalysisCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Bayesian Neural Networks With Maximum Mean Discrepancy RegularizationCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence RetrievalCode0
Multi-treatment Effect Estimation from Biomedical DataCode0
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient ImagesCode0
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative ExamplesCode0
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-ExpertsCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic DatasetsCode0
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning ApproachCode0
Supervised Learning with Evolving Tasks and Performance GuaranteesCode0
Machine learning for structure-guided materials and process designCode0
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural NetworksCode0
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning StrategiesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified