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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 1551–1600 of 3687 papers

TitleStatusHype
Composite Learning for Robust and Effective Dense Predictions—0
Learning to Generate Prompts for Dialogue Generation through Reinforcement Learning—0
Integrated Replay Spoofing-aware Text-independent Speaker Verification—0
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems—0
Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era—0
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain—0
Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding—0
Intelligent optical performance monitor using multi-task learning based artificial neural network—0
Intent Discovery for Enterprise Virtual Assistants: Applications of Utterance Embedding and Clustering to Intent Mining—0
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning—0
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction—0
Few-Shot Preference Learning for Human-in-the-Loop RL—0
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles—0
Interplay of Machine Translation, Diacritics, and Diacritization—0
Interpretable Meta-Learning of Physical Systems—0
Interpretable MTL from Heterogeneous Domains using Boosted Tree—0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
Few-Shot Multi-task Learning via Implicit regularization—0
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning—0
Inter-turbine Modelling of Wind-Farm Power using Multi-task Learning—0
Intra-day Activity Better Predicts Chronic Conditions—0
Intra-layer Neural Architecture Search—0
Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit—0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation—0
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators—0
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks—0
Investigating NP-Chunking with Universal Dependencies for English—0
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions—0
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models—0
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids—0
iPINNs: Incremental learning for Physics-informed neural networks—0
IQFM A Wireless Foundational Model for I/Q Streams in AI-Native 6G—0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
Deep Multi-Task Learning with Shared Memory—0
A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment—0
Deep Multi-Task Learning with Shared Memory for Text Classification—0
ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering—0
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest—0
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution—0
"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning—0
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification—0
Jacobian Descent for Multi-Objective Optimization—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—0
基于多层次预训练策略和多任务学习的端到端蒙汉语音翻译(End-to-end Mongolian-Chinese Speech Translation Based on Multi-level Pre-training Strategies and Multi-task Learning)—0
基于多任务学习的生成式阅读理解(Generative Reading Comprehension via Multi-task Learning)—0
Few-Shot and Zero-Shot Learning for Historical Text Normalization—0
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks—0
Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets—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