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Publication search results
found 28 matches
- 2024
- Emilie Grégoire, Muhammad Hafeez Chaudhary, Sam Verboven:
Sample-level weighting for multi-task learning with auxiliary tasks. Appl. Intell. 54(4): 3482-3501 (2024) - Jingjing Liu, Jie-Peng Yao, Jin-Hang Liu, Zhong-Yi Wang, Lan Huang:
Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning. Appl. Intell. 54(3): 2528-2550 (2024) - Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari:
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. CoRR abs/2403.01636 (2024) - 2023
- Guihai Chen, Jianshe Wu, Wenyun Luo, Jingyi Ding:
Constructing negative samples via entity prediction for multi-task knowledge representation learning. Knowl. Based Syst. 281: 111031 (2023) - Alessio Russo, Alexandre Proutière:
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure. AAAI 2023: 9658-9667 - Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding, Kenli Li:
Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks. ECAI 2023: 413-420 - Emilie Grégoire, Muhammad Hafeez Chaudhary, Sam Verboven:
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks. CoRR abs/2306.04519 (2023) - Chenguang Xue, Jiamin Lu:
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction. CoRR abs/2309.09713 (2023) - 2022
- Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa:
Multi-task manifold learning for small sample size datasets. Neurocomputing 473: 138-157 (2022) - Bin Deng, Jiangtao Luo, Tianshi Gao, Zijian Cui, Jiang Wang:
Multi-task learning: A solution of small sample size problem in floor-based gait recognition. I2MTC 2022: 1-6 - Yuanze Li, Yiwen Guo, Qizhang Li, Hongzhi Zhang, Wangmeng Zuo:
On Steering Multi-Annotations per Sample for Multi-Task Learning. CoRR abs/2203.02946 (2022) - Alessio Russo, Alexandre Proutière:
On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure. CoRR abs/2211.15129 (2022) - 2021
- Liao Cheng, Feiyang Xie, Jiangtao Ren:
KB-QA based on multi-task learning and negative sample generation. Inf. Sci. 574: 349-362 (2021) - Yanchao Sun, Xiangyu Yin, Furong Huang:
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. AAAI 2021: 9765-9773 - Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa:
Multi-task manifold learning for small sample size datasets. CoRR abs/2111.11655 (2021) - 2020
- Benshan Mei, Yitian Xu:
Safe sample screening for regularized multi-task learning. Knowl. Based Syst. 204: 106248 (2020) - Salim Malakouti, Milos Hauskrecht:
Not All Samples are Equal: Class Dependent Hierarchical Multi-Task Learning for Patient Diagnosis Classification. FLAIRS 2020: 323-328 - Yanchao Sun, Xiangyu Yin, Furong Huang:
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. CoRR abs/2002.06659 (2020) - 2019
- Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao:
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. NAACL-HLT (1) 2019: 2644-2655 - Nicholas C. Landolfi, Garrett Thomas, Tengyu Ma:
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning. CoRR abs/1907.04964 (2019) - 2018
- Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa:
Multi-task Manifold Learning Using Hierarchical Modeling for Insufficient Samples. ICONIP (3) 2018: 388-398 - 2017
- Ali Ahmadvand, Jinho D. Choi:
ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering. CoRR abs/1708.02267 (2017) - 2016
- Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
Multiple task transfer learning with small sample sizes. Knowl. Inf. Syst. 46(2): 315-342 (2016) - 2015
- Yao Ma, Jianyi Liu, Xi Yang, Yuehu Liu, Nanning Zheng:
Double layer multiple task learning for age estimation with insufficient training samples. Neurocomputing 147: 380-386 (2015) - 2014
- Tushar Sandhan, Young Joon Yoo, Hanjoo Yoo, Sangdoo Yun, Moonsub Byeon:
Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition. AVSS 2014: 349-354 - Yusuf Aytar, Andrew Zisserman:
Multi-Task Multi-Sample Learning. ECCV Workshops (3) 2014: 78-91 - 2013
- Emma Brunskill, Lihong Li:
Sample Complexity of Multi-task Reinforcement Learning. UAI 2013 - Emma Brunskill, Lihong Li:
Sample Complexity of Multi-task Reinforcement Learning. CoRR abs/1309.6821 (2013)
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