Title
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective Min Gao Junwei Zhang Junliang Yu Jundong Li Junhao Wen Qingyu Xiong 12 61 0 05 Mar 2020
Practical Privacy Preserving POI Recommendation Chaochao Chen Jun Zhou Bingzhe Wu W. Fang Li Wang Yuan Qi Xiaolin Zheng 10 67 0 05 Mar 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? Keita Ota Tomoaki Oiki Devesh K. Jha T. Mariyama D. Nikovski OffRL 21 40 0 03 Mar 2020
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving Wei Deng Junwei Pan Tian Zhou Deguang Kong Aaron Flores Guang Lin 20 4 0 17 Feb 2020
Generalized Embedding Machines for Recommender Systems Enneng Yang Xin Xin Li Shen G. Guo 26 2 0 16 Feb 2020
Electricity Theft Detection with self-attention Paulo Finardi Israel Campiotti Gustavo Plensack R. Souza Rodrigo Nogueira G. Pinheiro R. Lotufo 20 29 0 14 Feb 2020
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities David Rügamer Chris Kolb Nadja Klein 18 22 0 13 Feb 2020
Improving Deep Learning For Airbnb Search Malay Haldar Mustafa Abdool Prashant Ramanathan Tyler Sax Lanbo Zhang Aamir Mansawala Shulin Yang B. Turnbull Junshuo Liao 41 39 0 10 Feb 2020
Targeted display advertising: the case of preferential attachment Saurav Manchanda Pranjul Yadav Khoa D. Doan S. Keerthi 20 1 0 07 Feb 2020
Quasi-Equivalence of Width and Depth of Neural Networks Fenglei Fan Rongjie Lai Ge Wang 22 11 0 06 Feb 2020
Graph Convolution Machine for Context-aware Recommender System Jiancan Wu Xiangnan He Xiang Wang Qifan Wang Weijia Chen Jianxun Lian Xing Xie GNN 11 70 0 30 Jan 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen Le Wu Richang Hong Kun Zhang Meng Wang GNN 33 493 0 28 Jan 2020
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning Xi Liu Li Li Ping-Chun Hsieh Muhe Xie Yong Ge Rui Chen OffRL 21 3 0 27 Jan 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection Mi Luo Fei Chen Pengxiang Cheng Zhenhua Dong Xiuqiang He Jiashi Feng Zhenguo Li 31 48 0 22 Jan 2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference Udit Gupta Samuel Hsia V. Saraph Xiaodong Wang Brandon Reagen Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks Carole-Jean Wu GNN 36 188 0 08 Jan 2020
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution Shu-Ting Shi Wenhao Zheng Jun Tang Qingguo Chen Yao Hu Jianke Zhu Ming Li AI4TS 6 7 0 08 Jan 2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Liu Ke Udit Gupta Carole-Jean Wu B. Cho Mark Hempstead ... Dheevatsa Mudigere Maxim Naumov Martin D. Schatz M. Smelyanskiy Xiaodong Wang 49 213 0 30 Dec 2019
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis] Gabriel de Souza Pereira Moreira GNN 29 2 0 29 Dec 2019
An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification Yue Ma Zengfeng Zeng Dawei Zhu Xuan Li Yiying Yang Xiaoyuan Yao Kaijie Zhou Jianping Shen 22 33 0 19 Dec 2019
Neural networks and kernel ridge regression for excited states dynamics of CH $_2$ NH $_2^+$ : From single-state to multi-state representations and multi-property machine learning models Julia Westermayr Felix A Faber Anders S. Christensen O. von Lilienfeld P. Marquetand 14 40 0 18 Dec 2019
Learning to Recommend via Meta Parameter Partition Liang Zhao Yang Wang Daxiang Dong Hao Tian OffRL CLL 24 7 0 04 Dec 2019
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation Yahui Liu S. Furao Jian Zhao 15 4 0 18 Nov 2019
FLEN: Leveraging Field for Scalable CTR Prediction Wenqiang Chen Lizhang Zhan Yuanlong Ci Minghua Yang Chen Lin Dugang Liu 8 23 0 12 Nov 2019
Sequence-Aware Factorization Machines for Temporal Predictive Analytics Tong Chen Hongzhi Yin Quoc Viet Hung Nguyen Wen-Chih Peng Xue Li Xiaofang Zhou 11 63 0 07 Nov 2019
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 14 30 0 06 Nov 2019
MBCAL: Sample Efficient and Variance Reduced Reinforcement Learning for Recommender Systems Fan Wang Xiaomin Fang Lihang Liu Hao Tian Zhiming Peng OffRL 26 0 0 06 Nov 2019
Post-Training 4-bit Quantization on Embedding Tables Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen MQ 19 32 0 05 Nov 2019
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction Yikai Wang Liang Zhang Quanyu Dai F. Sun Bo Zhang Yang He Weipeng P. Yan Yongjun Bao OOD 18 13 0 03 Nov 2019
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling Linmei Hu Chen Li C. Shi Cheng Yang Chao Shao GNN AI4TS 16 173 0 30 Oct 2019
Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their Performance Brit Youngmann Ran Gilad-Bachrach D. Karmon E. Yom-Tov MedIm 8 6 0 27 Oct 2019
Markov Random Fields for Collaborative Filtering Harald Steck 27 26 0 21 Oct 2019
Learning to Recommend from Sparse Data via Generative User Feedback Wenlin Wang Hongteng Xu Ruiyi Zhang Wenqi Wang Piyush Rai Lawrence Carin 11 0 0 21 Oct 2019
Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis Matthew Holbrook Jennifer Hobbs P. Lucey 11 1 0 16 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 19 216 0 12 Oct 2019
Conceptualize and Infer User Needs in E-commerce Xusheng Luo Yanting Yang Kenny Q. Zhu Yu Gong Keping Yang 33 14 0 08 Oct 2019
Dual Learning Algorithm for Delayed Conversions Yuta Saito Gota Morishita Shota Yasui 23 0 0 04 Oct 2019
MLPerf Training Benchmark Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 33 305 0 02 Oct 2019
Neural Hybrid Recommender: Recommendation needs collaboration Ezgi Yildirim Payam V. Azad cSule Gunduz Ouguducu 14 4 0 29 Sep 2019
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning Yue Wang Tong Wu Yunlong Wang Gao Wang 20 11 0 26 Sep 2019
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems Antonio A. Ginart Maxim Naumov Dheevatsa Mudigere Jiyan Yang James Zou 16 98 0 25 Sep 2019
CAGE: Context-Aware Grasping Engine Weiyu Liu A. Daruna Sonia Chernova 11 39 0 24 Sep 2019
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers Wei Zhang Wei Wei Lingjie Xu Lingling Jin Cheng Li ELM 24 18 0 23 Sep 2019
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations M. Eslamibidgoli Mehrdad Mokhtari M. Eikerling 17 13 0 23 Sep 2019
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks C. Shi Xiaotian Han Li Song Tianlin Li Senzhang Wang Junping Du Philip S. Yu 99 98 0 14 Sep 2019
Time-weighted Attentional Session-Aware Recommender System Mei Wang Weizhi Li Yan Yan GNN 11 1 0 12 Sep 2019
Distributed Equivalent Substitution Training for Large-Scale Recommender Systems Haidong Rong Yangzihao Wang Feihu Zhou Junjie Zhai Haiyang Wu ... Fan Li Han Zhang Yuekui Yang Zhenyu Guo Di Wang OffRL 24 11 0 10 Sep 2019
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data Sebastian Polsterl Ignacio Sarasua B. Gutiérrez-Becker Christian Wachinger 12 29 0 09 Sep 2019
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems Xiangyu Zhao Changsheng Gu Haoshenglun Zhang Xiwang Yang Xiaobing Liu Jiliang Tang Hui Liu OffRL 9 97 0 09 Sep 2019
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions Weiyu Cheng Yanyan Shen Linpeng Huang 13 161 0 07 Sep 2019
Personalization of Deep Learning Johannes Schneider M. Vlachos 24 37 0 06 Sep 2019