When is multitask learning effective? Semantic sequence prediction under varying data conditions

7 December 2016

Papers citing "When is multitask learning effective? Semantic sequence prediction under varying data conditions"

26 / 26 papers shown

Title
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning Chong Li Shaonan Wang Yunhao Zhang Jiajun Zhang Chengqing Zong 38 4 0 16 Oct 2023
On Steering Multi-Annotations per Sample for Multi-Task Learning Yuan Li Yiwen Guo Qizhang Li Hongzhi Zhang W. Zuo 25 0 0 06 Mar 2022
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding Ranjan Satapathy Shweta Pardeshi Erik Cambria 14 18 0 14 Jan 2022
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning M. Crawshaw Jana Kosecka 18 7 0 16 Sep 2021
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval Ruiyang Ren Shangwen Lv Yingqi Qu Jing Liu Wayne Xin Zhao Qiaoqiao She Hua-Hong Wu Haifeng Wang Ji-Rong Wen 128 91 0 13 Aug 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection Xu Guo Boyang Albert Li Han Yu C. Miao AAML 28 17 0 19 Apr 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 16 158 0 09 Feb 2021
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms Jingyi He Kc Tsiolis Kian Kenyon-Dean Jackie C.K. Cheung 75 7 0 05 Nov 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 36 609 0 10 Sep 2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining Yifan Peng Qingyu Chen Zhiyong Lu 8 112 0 06 May 2020
Understanding and Improving Information Transfer in Multi-Task Learning Sen Wu Hongyang R. Zhang Christopher Ré 18 154 0 02 May 2020
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech Jakob Drachmann Havtorn Jan Latko Joakim Edin Lasse Borgholt Lars Maaløe Lorenzo Belgrano Nicolai Frost Jakobsen R. Sdun Zeljko Agic 19 3 0 02 May 2020
Parsing Thai Social Data: A New Challenge for Thai NLP Sattaya Singkul Borirat Khampingyot Nattasit Maharattamalai Supawat Taerungruang Tawunrat Chalothorn 13 6 0 06 Mar 2020
Deconstructing and reconstructing word embedding algorithms Edward Newell Kian Kenyon-Dean Jackie C.K. Cheung 36 4 0 29 Nov 2019
Learning Sparse Sharing Architectures for Multiple Tasks Tianxiang Sun Yunfan Shao Xiaonan Li Pengfei Liu Hang Yan Xipeng Qiu Xuanjing Huang MoE 30 128 0 12 Nov 2019
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling Nasser Zalmout Nizar Habash VLM 22 24 0 28 Oct 2019
Multi-Task Self-Supervised Learning for Disfluency Detection Shaolei Wang Wanxiang Che Qi Liu Pengda Qin Ting Liu William Yang Wang SSL 14 56 0 15 Aug 2019
Task Selection Policies for Multitask Learning John Glover Chris Hokamp OffRL 29 7 0 14 Jul 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding Kevin Clark Minh-Thang Luong Urvashi Khandelwal Christopher D. Manning Quoc V. Le 19 228 0 10 Jul 2019
Improving Sentiment Analysis with Multi-task Learning of Negation Jeremy Barnes Erik Velldal Lilja Øvrelid 16 36 0 18 Jun 2019
Neural Multi-Task Learning for Citation Function and Provenance Xuan Su Animesh Prasad Min-Yen Kan Kazunari Sugiyama 14 20 0 18 Nov 2018
Scheduled Multi-Task Learning: From Syntax to Translation E. Kiperwasser Miguel Ballesteros 9 82 0 24 Apr 2018
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling Ana Marasović Anette Frank 21 9 0 02 Nov 2017
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks Nils Reimers Iryna Gurevych 20 287 0 21 Jul 2017
Latent Multi-task Architecture Learning Sebastian Ruder Joachim Bingel Isabelle Augenstein Anders Søgaard CVBM 14 171 0 23 May 2017
Neural End-to-End Learning for Computational Argumentation Mining Steffen Eger Johannes Daxenberger Iryna Gurevych 19 192 0 20 Apr 2017