Title
Device-Cloud Collaborative Learning for Recommendation Jiangchao Yao Feng Wang Kunyang Jia Bo Han Jingren Zhou Hongxia Yang 30 60 0 14 Apr 2021
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning & HPC Workloads E. Georganas Dhiraj D. Kalamkar Sasikanth Avancha Menachem Adelman Deepti Aggarwal ... Ramanarayan Mohanty Hans Pabst Brian Retford Barukh Ziv A. Heinecke 37 17 0 12 Apr 2021
Personalized Bundle Recommendation in Online Games Qilin Deng Kai Wang M. Zhao Zhene Zou Runze Wu Jianrong Tao Changjie Fan Liang Chen 19 65 0 12 Apr 2021
Random Intersection Chains Qiuqiang Lin Chuanhou Gao AI4TS 14 2 0 10 Apr 2021
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model Ling-Hao Chen Hongyu Shi 18 8 0 05 Apr 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling Tong Chen Hongzhi Yin Xiangliang Zhang Zi Huang Yang Wang Meng Wang 30 12 0 05 Apr 2021
Local Collaborative Autoencoders Minjin Choi Yoonki Jeong Joonseok Lee Jongwuk Lee BDL 8 18 0 30 Mar 2021
KNN, An Underestimated Model for Regional Rainfall Forecasting N. Yu Timothy Haskins 17 1 0 28 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 318 0 19 Mar 2021
DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback Sarina Sajadi Ghaemmaghami Amirali Salehi-Abari FedML 48 2 0 13 Mar 2021
A Deep and Wide Neural Network-based Model for Rajasthan Summer Monsoon Rainfall (RSMR) Prediction Vikas Bajpai Anukriti Bansal 12 4 0 03 Mar 2021
Interpretable Artificial Intelligence through the Lens of Feature Interaction Michael Tsang James Enouen Yan Liu FAtt 19 7 0 01 Mar 2021
Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems Aditya Desai Yanzhou Pan K. Sun Li Chou Anshumali Shrivastava 28 9 0 24 Feb 2021
DNN2LR: Automatic Feature Crossing for Credit Scoring Qiang Liu Zhaocheng Liu Haoli Zhang Yuntian Chen Jun Zhu 14 0 0 24 Feb 2021
Theoretical Understandings of Product Embedding for E-commerce Machine Learning Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan 8 12 0 24 Feb 2021
SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization Dongsong Yu Guangliang Yang Guozhu Meng Xiaorui Gong Xiu Zhang ... Yue Jiang Kai Chen Wei Zou Wenke Lee Wenchang Shi AAML 25 7 0 19 Feb 2021
Label Leakage and Protection in Two-party Split Learning Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 134 139 0 17 Feb 2021
Personalized Embedding-based e-Commerce Recommendations at eBay Tiantian Wang Y. Brovman S. Madhvanath 28 24 0 11 Feb 2021
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP) Vojtěch Vančura Pavel Kordík BDL DRL 15 12 0 10 Feb 2021
Causal Collaborative Filtering Shuyuan Xu Yingqiang Ge Yunqi Li Zuohui Fu Xu Chen Yongfeng Zhang CML 24 48 0 03 Feb 2021
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning G. Shamir Wojtek Szpankowski 6 6 0 28 Jan 2021
CNN with large memory layers R. Karimov Yury Malkov Karim Iskakov Victor Lempitsky 27 0 0 27 Jan 2021
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction Xiang-Rong Sheng Liqin Zhao Guorui Zhou Xinyao Ding Binding Dai ... Siran Yang Jingshan Lv Chi Zhang Hongbo Deng Xiaoqiang Zhu LRM 22 177 0 27 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 138 273 0 23 Jan 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 61 83 0 19 Jan 2021
$C^3DRec$ : Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era Jialiang Han Yun Ma 22 0 0 13 Jan 2021
Data Poisoning Attacks to Deep Learning Based Recommender Systems Hai Huang Jiaming Mu Neil Zhenqiang Gong Qi Li Bin Liu Mingwei Xu AAML 22 129 0 07 Jan 2021
User Response Prediction in Online Advertising Zhabiz Gharibshah Xingquan Zhu OffRL 65 46 0 07 Jan 2021
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany Cornelius Fritz Emilio Dorigatti David Rügamer 11 21 0 03 Jan 2021
Automatic Historical Feature Generation through Tree-based Method in Ads Prediction Hongjian Wang Qi Li Lanbo Zhang Yue Lu Steven Yoo Srinivas Vadrevu Z. Li 11 1 0 31 Dec 2020
Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising Iyad Batal Akshay Soni 16 0 0 27 Dec 2020
IIRC: Incremental Implicitly-Refined Classification Mohamed Abdelsalam Mojtaba Faramarzi Shagun Sodhani A. Chandar CLL 19 29 0 23 Dec 2020
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning Jiaheng Xie Xinyu Liu HAI 31 10 0 21 Dec 2020
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction Kai Wang Chun-Yen Shen Wenye Ma AI4CE 25 3 0 20 Dec 2020
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation Haoyue Bai Rui Sun Lanqing Hong Fengwei Zhou Nanyang Ye Han-Jia Ye Shueng-Han Gary Chan Zhenguo Li OOD OODD CML 22 78 0 17 Dec 2020
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce Yuting Chen Yanshi Wang Yabo Ni Anxiang Zeng Lanfen Lin 52 24 0 16 Dec 2020
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions Yifeng Guo Yuhao Su Zebin Yang Aijun Zhang 16 2 0 15 Dec 2020
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction Kai Zhang Hao Qian Daixin Wang Qi Liu Longfei Li Jun Zhou Jianhui Ma Enhong Chen HAI 16 49 0 13 Dec 2020
GAN-based Recommendation with Positive-Unlabeled Sampling Yao Zhou Jianpeng Xu Jun Wu Zeinab Taghavi Nasrabadi Evren Körpeoglu Kannan Achan Jingrui He 25 4 0 12 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 157 420 0 11 Dec 2020
Price Suggestion for Online Second-hand Items with Texts and Images Liang Han Zhaozheng Yin Zhurong Xia Minqian Tang Rong Jin 3DV 22 4 0 10 Dec 2020
A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data Chenfeng Xiong Aref Darzi Yixuan Pan Sepehr Ghader Lei Zhang 14 1 0 08 Dec 2020
Research Progress of News Recommendation Methods Jing Qin 11 4 0 04 Dec 2020
Field-wise Learning for Multi-field Categorical Data Zhibin Li Jian Zhang Yongshun Gong Yazhou Yao Qiang Wu CML OOD 14 9 0 01 Dec 2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning Chao Du Zhifeng Gao Shuo Yuan Lining Gao Z. Li Yifan Zeng Xiaoqiang Zhu Jian Xu Kun Gai Kuang-chih Lee 25 18 0 25 Nov 2020
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating Linhao Luo Liqi Yang Ju Xin Yixiang Fang Xiaofeng Zhang Xiaofei Yang Kai Chen Zhiyuan Zhang Kai Liu 24 3 0 25 Nov 2020
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network Junyou He Guibao Mei Feng Xing Xiaorui Yang Yongjun Bao Weipeng P. Yan 16 7 0 24 Nov 2020
CAN: Feature Co-Action for Click-Through Rate Prediction Weijie Bian Kailun Wu Lejian Ren Qi Pi Yujing Zhang ... Xinchen Luo Shiming Xiang Guorui Zhou Xiaoqiang Zhu Hongbo Deng 17 7 0 11 Nov 2020
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale Bilge Acun Matthew Murphy Xiaodong Wang Jade Nie Carole-Jean Wu K. Hazelwood 36 109 0 11 Nov 2020
MatRec: Matrix Factorization for Highly Skewed Dataset Hao Wang Bing Ruan 13 20 0 09 Nov 2020