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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 1801–1850 of 3687 papers

TitleStatusHype
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection—0
Learning to Sketch with Shortcut Cycle Consistency—0
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges—0
Learning to Teach Fairness-aware Deep Multi-task Learning—0
Topic-Guided Abstractive Multi-Document Summarization—0
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection—0
Learning to Transfer via Modelling Multi-level Task Dependency—0
Learning to Walk in the Real World with Minimal Human Effort—0
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs—0
Topic Segmentation Model Focusing on Local Context—0
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition—0
Learning weakly supervised multimodal phoneme embeddings—0
Learning What to Share: Leaky Multi-Task Network for Text Classification—0
Learning With Privileged Tasks—0
Geometry-aware Two-scale PIFu Representation for Human Reconstruction—0
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning—0
A Bag of Tricks for Dialogue Summarization—0
BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification—0
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images—0
What can we learn from Semantic Tagging?—0
BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification—0
A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific—0
Let the Model Decide its Curriculum for Multitask Learning—0
Let the Model Decide its Curriculum for Multitask Learning—0
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning—0
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims—0
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues—0
Towards Adversarially Robust Object Detection—0
Bench-Marking And Improving Arabic Automatic Image Captioning Through The Use Of Multi-Task Learning Paradigm—0
Leveraging Large Language Model-based Room-Object Relationships Knowledge for Enhancing Multimodal-Input Object Goal Navigation—0
Leveraging Medical Visual Question Answering with Supporting Facts—0
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks—0
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning—0
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment—0
Leveraging Non-Conversational Tasks for Low Resource Slot Filling: Does it help?—0
Leveraging Orthographic Similarity for Multilingual Neural Transliteration—0
Behavior Self-Organization Supports Task Inference for Continual Robot Learning—0
Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification—0
Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning—0
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant—0
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation—0
Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks—0
What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant—0
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge—0
LibMTL: A Python Library for Multi-Task Learning—0
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving—0
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception—0
Lifelong Machine Learning for Topic Modeling and Beyond—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