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Multi-Task Learning

23 directly classified papers

Papers per year

Papers

Training-free LLM Merging for Multi-task Learning ACL 2025
DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model AAAI 2023
Collaborative Learning for Hand and Object Reconstruction With Attention-Guided Graph Convolution CVPR 2022
Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis ACL 2022
Association Graph Learning for Multi-Task Classification with Category Shifts NIPS 2022
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction AAAI 2021
Learning Task Sampling Policy for Multitask Learning EMNLP 2021
Distilled Semantics for Comprehensive Scene Understanding from Videos CVPR 2020
LIMIT-BERT : Linguistics Informed Multi-Task BERT EMNLP 2020
Multi-Task Learning using Dynamic Task Weighting for Conversational Question Answering EMNLP 2020
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge ACL 2020
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration CVPR 2019
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining ACL 2019
Attentive Single-Tasking of Multiple Tasks CVPR 2019
Subtask Gated Networks for Non-Intrusive Load Monitoring AAAI 2019
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning EMNLP 2019
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction EMNLP 2017
Multi-Task Learning of Keyphrase Boundary Classification ACL 2017
Deep Neural Network Based Acoustic-to-Articulatory Inversion Using Phone Sequence Information INTERSPEECH 2016
Rotating Your Face Using Multi-Task Deep Neural Network CVPR 2015
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models NIPS 2010