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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

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Showing 1501–1550 of 3687 papers

TitleStatusHype
Improving on-device speaker verification using federated learning with privacy—0
Improving out-of-distribution generalization via multi-task self-supervised pretraining—0
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility—0
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity—0
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning—0
Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data—0
Exploring Query Understanding for Amazon Product Search—0
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss—0
Deep Estimation of Speckle Statistics Parametric Images—0
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?—0
Improving sentence compression by learning to predict gaze—0
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain—0
FineText: Text Classification via Attention-based Language Model Fine-tuning—0
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data—0
Comprehensive Video Understanding: Video summarization with content-based video recommender design—0
Improving Span-based Question Answering Systems with Coarsely Labeled Data—0
Improving Syntactic Parsing with Consistency Learning—0
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement—0
Compositional Zero-Shot Domain Transfer with Text-to-Text Models—0
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning—0
Deep generative model-driven multimodal prostate segmentation in radiotherapy—0
Joint Sensing and Semantic Communications with Multi-Task Deep Learning—0
Compositional Semantic Parsing Across Graphbanks—0
Incorporating Linguistic Constraints into Keyphrase Generation—0
Findings on Conversation Disentanglement—0
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning—0
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning—0
Findings of the Shared Task on Multi-task Learning in Dravidian Languages—0
Independent Component Alignment for Multi-Task Learning—0
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks—0
Inducing Optimal Attribute Representations for Conditional GANs—0
InferEM: Inferring the Speaker's Intention for Empathetic Dialogue Generation—0
Inference-Time Personalized Federated Learning—0
On-Demand Unlabeled Personalized Federated Learning—0
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification—0
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts—0
Joint shape learning and segmentation for medical images using a minimalistic deep network—0
Infinite Latent SVM for Classification and Multi-task Learning—0
Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes—0
Infinite-Task Learning with RKHSs—0
Audio-Visual Speech Inpainting with Deep Learning—0
A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognition—0
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning—0
Deeply Learned Attributes for Crowded Scene Understanding—0
Injecting Imbalance Sensitivity for Multi-Task Learning—0
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs—0
Few-shot Segmentation with Optimal Transport Matching and Message Flow—0
Composite Learning for Robust and Effective Dense Predictions—0
Learning to Generate Prompts for Dialogue Generation through Reinforcement Learning—0
Few-Shot Preference Learning for Human-in-the-Loop RL—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