Title
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers Julia Moosbauer Martin Binder Lennart Schneider Florian Pfisterer Marc Becker Michel Lang Lars Kotthoff Bernd Bischl 15 7 0 29 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Fei Wu Jingren Zhou Hongxia Yang 24 91 0 11 Nov 2021
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters Xiangru Lian Binhang Yuan Xuefeng Zhu Yulong Wang Yongjun He ... Lei Yuan Hai-bo Yu Sen Yang Ce Zhang Ji Liu VLM 33 34 0 10 Nov 2021
Neural News Recommendation with Event Extraction Songqiao Han Hailiang Huang Jiangwei Liu AI4TS 16 4 0 09 Nov 2021
Dynamic Parameterized Network for CTR Prediction Jian Zhu Congcong Liu Pei Wang Xiwei Zhao Guangpeng Chen Junsheng Jin Changping Peng Zhangang Lin Jingping Shao 19 2 0 09 Nov 2021
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation Zahra Zamanzadeh Darban Mohammad Hadi Valipour 34 103 0 06 Nov 2021
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph Na Zhao Zhen Long Zhi-Dan Zhao Jian Wang HAI 9 1 0 01 Nov 2021
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch Jinhui Yuan Xinqi Li Cheng Cheng Juncheng Liu Ran Guo ... Fei Yang Xiaodong Yi Chuan Wu Haoran Zhang Jie Zhao 35 36 0 28 Oct 2021
Supporting Massive DLRM Inference Through Software Defined Memory E. K. Ardestani Changkyu Kim Seung Jae Lee Luoshang Pan Valmiki Rampersad ... Krishnakumar Nair Maxim Naumov Christopher Peterson M. Smelyanskiy Vijay Rao BDL 39 20 0 21 Oct 2021
A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System A. Moawad Zhijian Li Ines Pancorbo K. M. Gurumurthy Vincent Freyermuth E. Islam R. Vijayagopal M. Stinson A. Rousseau 22 8 0 21 Oct 2021
R4: A Framework for Route Representation and Route Recommendation Ran Cheng Chao Chen Longfei Xu Shen Li Lei Wang Hengbin Cui Kaikui Liu Xiaolong Li AI4TS 27 2 0 20 Oct 2021
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant Wei Xiao Qian Hu Thahir Mohamed Zheng Gao Xibin Gao Radhika Arava M. Abdelhady 25 3 0 19 Oct 2021
AEFE: Automatic Embedded Feature Engineering for Categorical Features Zhenyuan Zhong Jie Yang Yacong Ma Shoubin Dong Jinlong Hu 28 2 0 19 Oct 2021
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System Kai Wang Zhene Zou Minghao Zhao Qilin Deng Yue Shang Yile Liang Runze Wu Xudong Shen Tangjie Lyu Changjie Fan OffRL 25 9 0 18 Oct 2021
SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios Qi Shen Wanjie Tao Jing Zhang Hong Wen Zulong Chen Quan Lu 33 71 0 13 Oct 2021
Learning to Select Historical News Articles for Interaction based Neural News Recommendation Peitian Zhang Zhicheng Dou Jing Yao AI4TS 28 3 0 13 Oct 2021
Breaking the Softmax Bottleneck for Sequential Recommender Systems with Dropout and Decoupling Yi Lin BDL 19 3 0 11 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu Chenxiao Yang Junchi Yan 27 32 0 09 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 47 650 0 05 Oct 2021
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence Jing Yao Zhicheng Dou Ruobing Xie Yanxiong Lu Zhiping Wang Ji-Rong Wen 62 21 0 30 Sep 2021
Click-through Rate Prediction with Auto-Quantized Contrastive Learning Yujie Pan Jiangchao Yao Bo Han Kunyang Jia Ya Zhang Hongxia Yang MQ 32 18 0 27 Sep 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction Yunfei Chu Xiaofu Chang Kunyang Jia Jingzhen Zhou Hongxia Yang 23 4 0 26 Sep 2021
Deep Exploration for Recommendation Systems Zheqing Zhu Benjamin Van Roy 32 11 0 26 Sep 2021
Modeling Dynamic Attributes for Next Basket Recommendation Yong-Guang Chen Jia Li Chenghao Liu Chenxi Li M. Anderle Julian McAuley Caiming Xiong 38 18 0 23 Sep 2021
Context-aware Tree-based Deep Model for Recommender Systems Daqing Chang Jintao Liu Xinhang Li Han Li Ziru Xu Xiaoqiang Zhu 42 3 0 22 Sep 2021
Digital Signal Processing Using Deep Neural Networks Brian Shevitski Y. Watkins Nicole Man Michael Girard AI4CE 31 4 0 21 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 44 22 0 20 Sep 2021
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars Chun Tao Deboleena Roy I. Chakraborty Kaushik Roy AAML 34 2 0 19 Sep 2021
Inductive Conformal Recommender System Venkateswara Rao Kagita A. K. Pujari V. Padmanabhan Vikas Kumar 9 3 0 18 Sep 2021
Cross-Market Product Recommendation Hamed Bonab Mohammad Aliannejadi Ali Vardasbi Evangelos Kanoulas James Allan 25 51 0 13 Sep 2021
YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization Florian Pfisterer Lennart Schneider Julia Moosbauer Martin Binder B. Bischl 33 36 0 08 Sep 2021
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering Zizheng Lin Hao Ke N. Wong Jiaxin Bai Yangqiu Song Huan Zhao Junpeng Ye 32 11 0 04 Sep 2021
Top-N Recommendation with Counterfactual User Preference Simulation Mengyue Yang Quanyu Dai Zhenhua Dong Xu Chen Xiuqiang He Jun Wang CML BDL 47 64 0 02 Sep 2021
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding Zhiming Mao Xingshan Zeng Kam-Fai Wong GNN AI4TS 16 21 0 02 Sep 2021
Problem Learning: Towards the Free Will of Machines Yongfeng Zhang FaML 29 2 0 01 Sep 2021
Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems Philip J. Feng Pin-Yu Pan Tingting Zhou Hongxiang Chen Chuanjiang Luo LRM 9 17 0 31 Aug 2021
Binary Code based Hash Embedding for Web-scale Applications Bencheng Yan Pengjie Wang Jinquan Liu Wei-Chao Lin Kuang-chih Lee Jian Xu Bo Zheng 21 19 0 24 Aug 2021
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer Bencheng Yan Pengjie Wang Kai Zhang Wei Lin Kuang-chih Lee Jian Xu Bo Zheng 29 26 0 24 Aug 2021
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation Xidong Feng Chong Chen Dong Li Mengchen Zhao Jianye Hao Jun Wang OffRL 21 23 0 24 Aug 2021
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation Luo Ji Qin Qi Bingqing Han Hongxia Yang OffRL 11 28 0 20 Aug 2021
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction Xiawei Guo Yuhan Quan Huan Zhao Quanming Yao Yong Li Wei-Wei Tu 17 27 0 20 Aug 2021
Personalized next-best action recommendation with multi-party interaction learning for automated decision-making LongBing Cao Chengzhang Zhu 14 8 0 19 Aug 2021
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm Lin Bo Liang Pang Gang Wang Jun Xu Xiuqiang He Jirong Wen 23 3 0 12 Aug 2021
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model Qiwei Chen Changhua Pei Shanshan Lv Chao Li Junfeng Ge Wenwu Ou LRM CML 3DV 32 63 0 10 Aug 2021
DGEM: A New Dual-modal Graph Embedding Method in Recommendation System Huimin Zhou Qing Li Yong-jia Jiang Rongwei Yang Zhuyun Qi AI4TS 16 0 0 09 Aug 2021
Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning Yu Li Fei Xiong Ziyi Wang Zulong Chen Chuanfei Xu Yuyu Yin Li Zhou 14 7 0 09 Aug 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 91 19 0 06 Aug 2021
$Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference$ Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 $\times$ Compression and 3.1 $\times$ Faster Inference Aditya Desai Li Chou Anshumali Shrivastava AI4CE 25 6 0 04 Aug 2021
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction Fuyuan Lyu Xing Tang Huifeng Guo Ruiming Tang Xiuqiang He Rui Zhang Xue Liu 39 22 0 03 Aug 2021
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding Zhiqiang Wang Qingyun She Pengtao Zhang Junlin Zhang 46 8 0 26 Jul 2021