Title
Ensemble Knowledge Distillation for CTR Prediction Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen Zibin Zheng 36 56 0 08 Nov 2020
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 19 33 0 08 Nov 2020
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery Kiwan Maeng Shivam Bharuka Isabel Gao M. C. Jeffrey V. Saraph ... Caroline Trippel Jiyan Yang Michael G. Rabbat Brandon Lucia Carole-Jean Wu OffRL 24 31 0 05 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs Yunpeng Weng Xu Chen Liang Chen Wei Liu GNN 22 10 0 03 Nov 2020
Multimodal Topic Learning for Video Recommendation Shi Pu Yijiang He Zheng Li Mao Zheng 23 8 0 26 Oct 2020
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach Yunjie Zhang Fei Tao Xudong Liu Runze Su Xiaorong Mei Weicong Ding Zhichen Zhao Lei Yuan Ji Liu 19 2 0 23 Oct 2020
Metapath- and Entity-aware Graph Neural Network for Recommendation Muhammad Umer Anwaar Zhiwei Han Shyam Arumugaswamy Rayyan Ahmad Khan Thomas Weber Tianming Qiu Hao Shen Yuanting Liu M. Kleinsteuber 13 8 0 22 Oct 2020
Prediction of Rainfall in Rajasthan, India using Deep and Wide Neural Network Vikas Bajpai Anukriti Bansal Kshitiz Verma Sanjay Agarwal 12 5 0 22 Oct 2020
SPECT Imaging Reconstruction Method Based on Deep Convolutional Neural Network C. Chrysostomou L. Koutsantonis Christos Lemesios C. Papanicolas 16 9 0 19 Oct 2020
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data Mao Ye Dhruv Choudhary Jiecao Yu Ellie Wen Zeliang Chen Jiyan Yang Jongsoo Park Qiang Liu A. Kejariwal 29 9 0 16 Oct 2020
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation Guangneng Hu Qiang Yang 9 6 0 16 Oct 2020
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization Ramin Raziperchikolaei Tianyu Li Young-joo Chung DML AI4TS 8 2 0 12 Oct 2020
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions Wenqi Jiang Zhen He Shuai Zhang Thomas B. Preußer Kai Zeng ... Tongxuan Liu Yong Li Jingren Zhou Ce Zhang Gustavo Alonso 42 7 0 12 Oct 2020
Lambda Learner: Fast Incremental Learning on Data Streams R. Ramanath Konstantin Salomatin Jeffrey Gee Kirill Talanine Onkar Dalal Gungor Polatkan S. Smoot Deepak Kumar 13 9 0 11 Oct 2020
Cross-Stack Workload Characterization of Deep Recommendation Systems Samuel Hsia Udit Gupta Mark Wilkening Carole-Jean Wu Gu-Yeon Wei David Brooks BDL GNN HAI 28 32 0 10 Oct 2020
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction Hu Liu Jing Lu Xiwei Zhao Sulong Xu Hao Peng ... Zehua Zhang Jian Li Junsheng Jin Yongjun Bao Weipeng P. Yan 22 23 0 02 Oct 2020
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks Weihao Tan Devdhar Patel R. Kozma 17 43 0 30 Sep 2020
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach Yifang Liu Zhe Xu Qiyuan An Yang Yi Yanzhi Wang Trevor Hastie 13 0 0 27 Sep 2020
AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce Feng-Lin Li Hehong Chen Guohai Xu Tian Qiu Feng Ji Ji Zhang Haiqing Chen 15 54 0 24 Sep 2020
A Deep Hybrid Model for Recommendation Systems Muhammet Çakir Ş. Öğüdücü Resul Tugay VLM 16 8 0 21 Sep 2020
div2vec: Diversity-Emphasized Node Embedding Jisu Jeong Jeong-Min Yun Hongi Keam Young-Jin Park Zimin Park Junki Cho 19 5 0 21 Sep 2020
Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation Po Li Lei Li Yanzhe Fu Jun Rong Yu Zhang MoE 17 0 0 17 Sep 2020
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial Control Systems Maged AbdelAty Roberto Doriguzzi-Corin Domenico Siracusa 14 41 0 14 Sep 2020
Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach Tongxin Zhou Yingfei Wang Lu L. Yan Yong Tan 12 24 0 13 Sep 2020
Field-Embedded Factorization Machines for Click-through rate prediction Harshit Pande 8 15 0 13 Sep 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 25 125 0 12 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features Weijia Chen Fuli Feng Qifan Wang Xiangnan He Chonggang Song Guohui Ling Yongdong Zhang GNN 27 22 0 11 Sep 2020
Boosting Retailer Revenue by Generated Optimized Combined Multiple Digital Marketing Campaigns Yafei Xu Tian Xie Yu Zhang 21 1 0 09 Sep 2020
Implicit Feedback Deep Collaborative Filtering Product Recommendation System K. Bhaskar D. Kundur Y. Lawryshyn BDL 12 3 0 08 Sep 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback Zifeng Wang Xi Chen Rui Wen Shao-Lun Huang E. Kuruoglu Yefeng Zheng BDL CML OffRL 14 81 0 06 Sep 2020
Profiling US Restaurants from Billions of Payment Card Transactions Himel Dev H. Hamooni 6 2 0 05 Sep 2020
A Practical Incremental Method to Train Deep CTR Models Yichao Wang Huifeng Guo Ruiming Tang Zhirong Liu Xiuqiang He CLL 24 31 0 04 Sep 2020
Boosting Share Routing for Multi-task Learning Xiaokai Chen Xiaoguang Gu Libo Fu MoE 8 10 0 01 Sep 2020
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks Deboleena Roy I. Chakraborty Timur Ibrayev Kaushik Roy AAML 11 4 0 27 Aug 2020
Time-based Sequence Model for Personalization and Recommendation Systems T. Ishkhanov Maxim Naumov Xianjie Chen Yan Zhu Yuan Zhong A. Azzolini Chonglin Sun Frank Jiang Andrey Malevich Liang Xiong 30 17 0 27 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems Yishi Xu Yingxue Zhang Wei Guo Huifeng Guo Ruiming Tang Mark J. Coates CLL 17 79 0 25 Aug 2020
Adaptive Serverless Learning Hongchang Gao Heng-Chiao Huang 19 3 0 24 Aug 2020
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data Zhaocheng Liu Qiang Liu Haoli Zhang Yuntian Chen 16 12 0 22 Aug 2020
Explainable Recommender Systems via Resolving Learning Representations Ninghao Liu Yong Ge Li Li Xia Hu Rui Chen Soo-Hyun Choi 24 24 0 21 Aug 2020
Review Regularized Neural Collaborative Filtering Zhimeng Pan Wenzheng Tao Qingyao Ai 6 0 0 20 Aug 2020
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction Liyi Guo Rui Lu Haoqi Zhang Junqi Jin Zhenzhe Zheng ... Haiyang Xu Han Li Wen-kai Lu Jian Xu Kun Gai 21 12 0 20 Aug 2020
Joint Variational Autoencoders for Recommendation with Implicit Feedback Bahare Askari Jaroslaw Szlichta Amirali Salehi-Abari DRL 21 4 0 17 Aug 2020
Deep Search Query Intent Understanding Xiaowei Liu Weiwei Guo Huiji Gao Bo Long 12 4 0 15 Aug 2020
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems Jiaxi Tang Hongyi Wen Ke Wang AAML 10 82 0 11 Aug 2020
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection Dongbo Xi Bowen Song Fuzhen Zhuang Yongchun Zhu Shuai Chen Tianyi Zhang Yuan Qi Qing He 16 0 0 08 Aug 2020
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Lei Zhao Jinmei Luo Yu Zhang Heng Zou Zhaojie Liu Yanlong Du 9 68 0 07 Aug 2020
UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks Bo Huang Ye Bi Zhenyu Wu Jianming Wang Jing Xiao GNN 24 5 0 06 Aug 2020
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning Jingxing Jiang Zhubin Wang Fei Fang Binqiang Zhao 20 1 0 05 Aug 2020
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network Haotian Li Huan Wei Yong Wang Yangqiu Song Huamin Qu AI4Ed 57 30 0 04 Aug 2020
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations Dalin Guo S. Ktena Ferenc Huszár Pranay K. Myana Wenzhe Shi Alykhan Tejani OffRL 33 39 0 03 Aug 2020