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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 1051–1100 of 3687 papers

TitleStatusHype
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Comparison of single and multitask learning for predicting cognitive decline based on MRI dataCode0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
Imbalanced multi-label classification using multi-task learning with extractive summarizationCode0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled DataCode0
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance AugmentationCode0
Image Aesthetic Assessment Assisted by Attributes through Adversarial LearningCode0
Identifying beneficial task relations for multi-task learning in deep neural networksCode0
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in MemesCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Identification of Distorted RF Components via Deep Multi-Task LearningCode0
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative ExamplesCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Identification of Negative Transfers in Multitask Learning Using Surrogate ModelsCode0
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for MarketingCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
Cross-Silo Heterogeneous Model Federated Multitask LearningCode0
Co-evolutionary multi-task learning for dynamic time series predictionCode0
Representation Disentanglement for Multi-task Learning with application to Fetal UltrasoundCode0
Hybrid Losses for Hierarchical Embedding LearningCode0
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender RecognitionCode0
Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)Code0
A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian ReviewsCode0
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and ExtractionCode0
Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification FrameworkCode0
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function ClassesCode0
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data SynthesizationCode0
An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support HotlinesCode0
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd CountingCode0
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped usersCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Hierarchical Multi-task learning framework for Isometric-Speech Language TranslationCode0
CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label DescriptionsCode0
Cluster-Specific Predictions with Multi-Task Gaussian ProcessesCode0
Out-of-Scope Domain and Intent Classification through Hierarchical Joint ModelingCode0
A neural network multi-task learning approach to biomedical named entity recognitionCode0
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy ConstraintsCode0
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and NormalizationCode0
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural TextCode0
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised AttentionCode0
Human Keypoint Detection by Progressive Context RefinementCode0
Clipped-Objective Policy Gradients for Pessimistic Policy OptimizationCode0
Dialogue Coherence Assessment Without Explicit Dialogue Act LabelsCode0
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive TranslatorsCode0
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property PredictionCode0
Helping Visually Impaired People Take Better Quality PicturesCode0
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNNCode0
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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