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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 1351–1400 of 3687 papers

TitleStatusHype
ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising—0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
Efficient and robust multi-task learning in the brain with modular latent primitives—0
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging—0
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning—0
Body Segmentation Using Multi-task Learning—0
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning—0
Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning—0
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving—0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
Adversarial multi-task learning to solve holistic semantic polishing problem of Chinese text—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification—0
Biomedical Event Extraction as Sequence Labeling—0
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing—0
ECRC: Emotion-Causality Recognition in Korean Conversation for GCN—0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations—0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation—0
EarthGPT-X: Enabling MLLMs to Flexibly and Comprehensively Understand Multi-Source Remote Sensing Imagery—0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition—0
An Adversarial Multi-Task Learning Method for Chinese Text Correction with Semantic Detection—0
Adversarial Multi-task Learning for Text Classification—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—0
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges—0
Cross-domain Named Entity Recognition via Graph Matching—0
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning—0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation—0
融合多任務學習類神經網路聲學模型訓練於會議語音辨識之研究 (Leveraging Multi-Task Learning with Neural Network Based Acoustic Modeling for Improved Meeting Speech Recognition) [In Chinese]—0
融合多任務學習類神經網路聲學模型訓練於會議語音辨識之研究(Leveraging Multi-task Learning with Neural Network Based Acoustic Modeling for Improved Meeting Speech Recognition) [In Chinese]—0
E2E-based Multi-task Learning Approach to Joint Speech and Accent Recognition—0
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning—0
DynamoNet: Dynamic Action and Motion Network—0
Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer—0
An Active Learning Framework for Efficient Robust Policy Search—0
Dynamic technology impact analysis: A multi-task learning approach to patent citation prediction—0
Dynamic Sampling Strategies for Multi-Task Reading Comprehension—0
Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies—0
Bias Reducing Multitask Learning on Mental Health Prediction—0
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification—0
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning—0
Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets—0
Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis—0
Adversarial Multi-Task Learning for Disentangling Timbre and Pitch in Singing Voice Synthesis—0
Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach—0
Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models—0
Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics—0
A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation—0
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering—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