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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 401450 of 3687 papers

TitleStatusHype
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
Multi-Task Learning for Front-End Text Processing in TTSCode1
Multi-task learning for molecular electronic structure approaching coupled-cluster accuracyCode1
A Unified Span-Based Approach for Opinion Mining with Syntactic ConstituentsCode1
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-ExpertsCode1
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot GeneralizationCode1
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR GlassesCode1
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based RecommendationCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task LearningCode1
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine TranslationCode1
Multi-task pre-training of deep neural networks for digital pathologyCode1
Multi-Task Recommendations with Reinforcement LearningCode1
Hierarchical Document Refinement for Long-context Retrieval-augmented GenerationCode1
Neural Graphical ModelsCode1
A Multi-Task Learning Approach to Linear Multivariate ForecastingCode1
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in TextsCode1
Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You NeedCode1
Empirical Bayes Transductive Meta-Learning with Synthetic GradientsCode1
Encoding Visual Attributes in Capsules for Explainable Medical DiagnosesCode1
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulasCode1
End-to-End Multi-Task Learning with AttentionCode1
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task LearningCode1
AutoMTL: A Programming Framework for Automating Efficient Multi-Task LearningCode1
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical DecodingCode1
Hyperparameter optimization in deep multi-target predictionCode1
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task LearningCode1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
Evaluating Logical Generalization in Graph Neural NetworksCode1
BoIR: Box-Supervised Instance Representation for Multi-Person Pose EstimationCode1
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task ModelCode1
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic EnvironmentsCode1
AV-RIR: Audio-Visual Room Impulse Response EstimationCode1
A Multi-Task Learning Framework for Multi-Target Stance DetectionCode1
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic DataCode1
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous DatasetsCode1
Explain and Predict, and then Predict AgainCode1
A Multi-task Learning Framework for Opinion Triplet ExtractionCode1
Exploiting Learnable Joint Groups for Hand Pose EstimationCode1
Exploring Correlations of Self-Supervised Tasks for GraphsCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech RecognitionCode1
PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-ResolutionCode1
Gradient Surgery for Multi-Task LearningCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
PEvoLM: Protein Sequence Evolutionary Information Language ModelCode1
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine LearningCode1
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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