What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
Author:
Affiliation:
1. Wuhan University of Technology, Wuhan, China
2. NEC Corporation, Tokyo, Japan
3. University of Southern Queensland, Toowoomba, Australia
Funder
China Scholarship Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3459637.3482492
Reference45 articles.
1. Zeyuan Allen-Zhu and Yuanzhi Li. 2020. Towards Understanding Ensemble Knowledge Distillation and Self-Distillation in Deep Learning. arxiv: cs.LG/2012.09816 Zeyuan Allen-Zhu and Yuanzhi Li. 2020. Towards Understanding Ensemble Knowledge Distillation and Self-Distillation in Deep Learning. arxiv: cs.LG/2012.09816
2. Shaojie Bai J. Zico Kolter and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arxiv: cs.LG/1803.01271 Shaojie Bai J. Zico Kolter and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arxiv: cs.LG/1803.01271
3. Yoshua Bengio Jérôme Louradour Ronan Collobert and Jason Weston. 2009. Curriculum learning. In ICML. PMLR 41--48. Yoshua Bengio Jérôme Louradour Ronan Collobert and Jason Weston. 2009. Curriculum learning. In ICML. PMLR 41--48.
4. Cristian Bucila Rich Caruana and Alexandru Niculescu-Mizil. 2006. Model compression. In KDD. ACM 535--541. Cristian Bucila Rich Caruana and Alexandru Niculescu-Mizil. 2006. Model compression. In KDD. ACM 535--541.
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Data Collaborative Contrastive Recommendation model with self-adaptive noise;Expert Systems with Applications;2024-12
2. Dual perspective denoising model for session-based recommendation;Expert Systems with Applications;2024-09
3. Robust enhanced collaborative filtering without explicit noise filtering;The Journal of Supercomputing;2024-04-06
4. A Robust Sequential Recommendation Model Based on Multiple Feedback Behavior Denoising and Trusted Neighbors;Neural Processing Letters;2024-02-02
5. Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction;IEEE Signal Processing Letters;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3