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KDD2018 Paper List

论文 作者 组织 摘要 翻译 代码 引用数
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec code 1203
Deep Interest Network for Click-Through Rate Prediction Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai code 726
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun code 428
STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation Qiao Liu, Yifu Zeng, Refuoe Mokhosi, Haibin Zhang code 405
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Söderström code 353
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao code 339
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu code 262
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li code 251
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner, Amir Akbarnejad, Stephan Günnemann code 244
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao, Zhengyang Wang, Shuiwang Ji code 234
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee code 226
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi code 224
DeepInf: Social Influence Prediction with Deep Learning Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang code 224
Fairness of Exposure in Rankings Ashudeep Singh, Thorsten Joachims code 206
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach Zhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, Jieping Ye code 175
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin code 160
Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data Zhuoning Yuan, Xun Zhou, Tianbao Yang code 160
Learning Structural Node Embeddings via Diffusion Wavelets Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec code 159
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou code 148
Rosetta: Large Scale System for Text Detection and Recognition in Images Fedor Borisyuk, Albert Gordo, Viswanath Sivakumar code 144
Deep Distributed Fusion Network for Air Quality Prediction Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng code 142
Multi-Pointer Co-Attention Networks for Recommendation Yi Tay, Anh Tuan Luu, Siu Cheung Hui code 134
Real-time Personalization using Embeddings for Search Ranking at Airbnb Mihajlo Grbovic, Haibin Cheng code 131
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang code 127
Multi-task Representation Learning for Travel Time Estimation Yaguang Li, Kun Fu, Zheng Wang, Cyrus Shahabi, Jieping Ye, Yan Liu code 126
Embedding Temporal Network via Neighborhood Formation Yuan Zuo, Guannan Liu, Hao Lin, Jia Guo, Xiaoqian Hu, Junjie Wu code 123
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li code 117
Learning to Estimate the Travel Time Zheng Wang, Kun Fu, Jieping Ye code 116
Learning Tree-based Deep Model for Recommender Systems Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai code 115
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen code 114
Deep Sequence Learning with Auxiliary Information for Traffic Prediction Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu code 106
Deep Recursive Network Embedding with Regular Equivalence Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu code 101
Arbitrary-Order Proximity Preserved Network Embedding Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu code 100
Graph Classification using Structural Attention John Boaz Lee, Ryan A. Rossi, Xiangnan Kong code 95
Learning Deep Network Representations with Adversarially Regularized Autoencoders Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang code 92
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu code 91
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection Guansong Pang, Longbing Cao, Ling Chen, Huan Liu code 90
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices Till Speicher, Hoda Heidari, Nina GrgicHlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar code 84
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha code 83
Neural Memory Streaming Recommender Networks with Adversarial Training Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang code 82
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis Jingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu code 78
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das, Madhuri Shanbhogue, ShangTse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau code 77
Multiview Clustering via Adaptively Weighted Procrustes Feiping Nie, Lai Tian, Xuelong Li code 77
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han code 74
Hyperparameter Importance Across Datasets Jan N. van Rijn, Frank Hutter code 73
Risk Prediction on Electronic Health Records with Prior Medical Knowledge Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang code 72
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time Tian Bai, Shanshan Zhang, Brian L. Egleston, Slobodan Vucetic code 72
The U.S. Census Bureau Adopts Differential Privacy John M. Abowd code 72
Deep Variational Network Embedding in Wasserstein Space Dingyuan Zhu, Peng Cui, Daixin Wang, Wenwu Zhu code 69
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu code 68
Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation ShiYong Chen, Yang Yu, Qing Da, Jun Tan, HaiKuan Huang, HaiHong Tang code 65
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop Yutao Zhang, Fanjin Zhang, Peiran Yao, Jie Tang code 64
Smoothed Dilated Convolutions for Improved Dense Prediction Zhengyang Wang, Shuiwang Ji code 64
OpenTag: Open Attribute Value Extraction from Product Profiles Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li code 61
SpotLight: Detecting Anomalies in Streaming Graphs Dhivya Eswaran, Christos Faloutsos, Sudipto Guha, Nina Mishra code 60
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System Jiaxi Tang, Ke Wang code 59
Extremely Fast Decision Tree Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi code 58
Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems Georgina Peake, Jun Wang code 57
NetLSD: Hearing the Shape of a Graph Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller code 56
Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach Yexin Li, Yu Zheng, Qiang Yang code 54
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun code 54
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si code 51
Visual Search at Alibaba Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin code 49
Towards Explanation of DNN-based Prediction with Guided Feature Inversion Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu code 48
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han code 47
Butterfly Counting in Bipartite Networks SeyedVahid SaneiMehri, Ahmet Erdem Sariyüce, Srikanta Tirthapura code 47
Trajectory-driven Influential Billboard Placement Ping Zhang, Zhifeng Bao, Yuchen Li, Guoliang Li, Yipeng Zhang, Zhiyong Peng code 46
Deep Adversarial Learning for Multi-Modality Missing Data Completion Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji code 45
Stable Prediction across Unknown Environments Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li code 44
Multi-Round Influence Maximization Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen code 44
Dynamic Embeddings for User Profiling in Twitter Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas code 43
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget Jaewoo Lee, Daniel Kifer code 43
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati code 42
DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams Gyoung S. Na, Dong Hyun Kim, Hwanjo Yu code 42
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning Patrick Koch, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin, Yan Xu code 42
Model-based Clustering of Short Text Streams Jianhua Yin, Daren Chao, Zhongkun Liu, Wei Zhang, Xiaohui Yu, Jianyong Wang code 41
Multimodal Sentiment Analysis To Explore the Structure of Emotions Anthony Hu, Seth R. Flaxman code 40
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas code 40
Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking Availability Yuecheng Rong, Zhimian Xu, Ruibo Yan, Xu Ma code 40
Q&R: A Two-Stage Approach toward Interactive Recommendation Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi code 38
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang code 38
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data Tom Decroos, Jan Van Haaren, Jesse Davis code 37
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han code 37
Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu code 37
Opinion Dynamics with Varying Susceptibility to Persuasion Rediet Abebe, Jon M. Kleinberg, David C. Parkes, Charalampos E. Tsourakakis code 37
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal code 36
Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems Pierre Hulot, Daniel Aloise, Sanjay Dominik Jena code 36
Content to Node: Self-Translation Network Embedding Jie Liu, Zhicheng He, Lai Wei, Yalou Huang code 35
Finding Similar Exercises in Online Education Systems Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu code 35
xStream: Outlier Detection in Feature-Evolving Data Streams Emaad A. Manzoor, Hemank Lamba, Leman Akoglu code 35
Scalable k -Means Clustering via Lightweight Coresets Olivier Bachem, Mario Lucic, Andreas Krause code 35
Collaborative Deep Metric Learning for Video Understanding Joonseok Lee, Sami AbuElHaija, Balakrishnan Varadarajan, Apostol Natsev code 34
Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction Mengyue Hang, Ian Pytlarz, Jennifer Neville code 33
HeavyGuardian: Separate and Guard Hot Items in Data Streams Tong Yang, Junzhi Gong, Haowei Zhang, Lei Zou, Lei Shi, Xiaoming Li code 33
REST: A Reference-based Framework for Spatio-temporal Trajectory Compression Yan Zhao, Shuo Shang, Yu Wang, Bolong Zheng, Quoc Viet Hung Nguyen, Kai Zheng code 33
SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan code 33
Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer! Nandani Garg, Sayan Ranu code 32
Context-aware Academic Collaborator Recommendation Zheng Liu, Xing Xie, Lei Chen code 32
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU Harini Suresh, Jen J. Gong, John V. Guttag code 32
Deep Reinforcement Learning for Sponsored Search Real-time Bidding Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He code 31
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang code 31
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han code 31
Multi-Cast Attention Networks Yi Tay, Luu Anh Tuan, Siu Cheung Hui code 31
Web-Scale Responsive Visual Search at Bing Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi (Stephen) Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti code 30
Customized Regression Model for Airbnb Dynamic Pricing Peng Ye, Julian Qian, Jieying Chen, ChenHung Wu, Yitong Zhou, Spencer De Mars, Frank Yang, Li Zhang code 30
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou code 30
Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, Guihai Chen code 30
Detecting Vehicle Illegal Parking Events using Sharing Bikes' Trajectories Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Chao Tian, Yu Zheng code 29
Next-Step Suggestions for Modern Interactive Data Analysis Platforms Tova Milo, Amit Somech code 29
StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network Bilong Shen, Xiaodan Liang, Yufeng Ouyang, Miaofeng Liu, Weimin Zheng, Kathleen M. Carley code 29
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei code 29
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen code 29
D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes Alessio Conte, Tiziano De Matteis, Daniele De Sensi, Roberto Grossi, Andrea Marino, Luca Versari code 28
Cost-Effective Training of Deep CNNs with Active Model Adaptation ShengJun Huang, JiaWei Zhao, ZhaoYang Liu code 28
An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren code 28
Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs Zemin Liu, Vincent W. Zheng, Zhou Zhao, Zhao Li, Hongxia Yang, Minghui Wu, Jing Ying code 27
Demand-Aware Charger Planning for Electric Vehicle Sharing Bowen Du, Yongxin Tong, Zimu Zhou, Qian Tao, Wenjun Zhou code 27
Feedback-Guided Anomaly Discovery via Online Optimization Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Ryan Wright, Alec Theriault, David W. Archer code 27
Sequences of Sets Austin R. Benson, Ravi Kumar, Andrew Tomkins code 27
Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning Approach Daniel de Roux, Boris Perez, Andrés Moreno, MaríaDelPilar Villamil, César Figueroa code 26
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories Ian Fox, Lynn Ang, Mamta Jaiswal, Rodica PopBusui, Jenna Wiens code 26
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas code 25
Hierarchical Taxonomy Aware Network Embedding Jianxin Ma, Peng Cui, Xiao Wang, Wenwu Zhu code 25
Predicting Estimated Time of Arrival for Commercial Flights Samet Ayhan, Pablo Costas, Hanan Samet code 25
Rotation-blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression Boyo Chen, BuoFu Chen, HsuanTien Lin code 25
Adversarial Detection with Model Interpretation Ninghao Liu, Hongxia Yang, Xia Hu code 25
Multi-Label Inference for Crowdsourcing Jing Zhang, Xindong Wu code 25
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning Hung Le, Truyen Tran, Svetha Venkatesh code 24
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon code 24
Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi code 24
A Treatment Engine by Predicting Next-Period Prescriptions Bo Jin, Haoyu Yang, Leilei Sun, Chuanren Liu, Yue Qu, Jianing Tong code 24
High-order Proximity Preserving Information Network Hashing Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie code 24
Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling Charles Sutton, Timothy Hobson, James Geddes, Rich Caruana code 24
Self-Paced Network Embedding Hongchang Gao, Heng Huang code 23
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks Avishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks, R. Ali Vanderveld, Kevin H. Wilson, Chad Kenney, Sam Edelstein, Adria Finch, Andrew Maxwell, Joe Zuckerbraun, Rayid Ghani code 23
Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient Yan Li, Jieping Ye code 23
MIX: Multi-Channel Information Crossing for Text Matching Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu code 22
Scalable Active Learning by Approximated Error Reduction Weijie Fu, Meng Wang, Shijie Hao, Xindong Wu code 22
On Interpretation of Network Embedding via Taxonomy Induction Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu code 22
Challenges and Innovations in Building a Product Knowledge Graph Xin Luna Dong code 22
Approximating the Spectrum of a Graph David CohenSteiner, Weihao Kong, Christian Sohler, Gregory Valiant code 21
Buy It Again: Modeling Repeat Purchase Recommendations Rahul Bhagat, Srevatsan Muralidharan, Alex Lobzhanidze, Shankar Vishwanath code 21
TATC: Predicting Alzheimer's Disease with Actigraphy Data Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng code 21
Quantifying and Minimizing Risk of Conflict in Social Networks Xi Chen, Jefrey Lijffijt, Tijl De Bie code 21
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly code 21
Towards Evolutionary Compression Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao code 21
NGUARD: A Game Bot Detection Framework for NetEase MMORPGs Jianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, Zhou Zhao code 20
FASTEN: Fast Sylvester Equation Solver for Graph Mining Boxin Du, Hanghang Tong code 20
R 2 SDH: Robust Rotated Supervised Discrete Hashing Jie Gui, Ping Li code 20
Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport Yang Yang, YiFeng Wu, DeChuan Zhan, ZhiBin Liu, Yuan Jiang code 20
Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm Zeyang Ye, Lihao Zhang, Keli Xiao, Wenjun Zhou, Yong Ge, Yuefan Deng code 19
Offline Evaluation of Ranking Policies with Click Models Shuai Li, Yasin AbbasiYadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen code 19
Scalable Spectral Clustering Using Random Binning Features Lingfei Wu, PinYu Chen, Ian EnHsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal code 19
Coupled Context Modeling for Deep Chit-Chat: Towards Conversations between Human and Computer Rui Yan, Dongyan Zhao code 19
Semi-Supervised Generative Adversarial Network for Gene Expression Inference Kamran Ghasedi Dizaji, Xiaoqian Wang, Heng Huang code 19
Accurate and Fast Asymmetric Locality-Sensitive Hashing Scheme for Maximum Inner Product Search Qiang Huang, Guihong Ma, Jianlin Feng, Qiong Fang, Anthony K. H. Tung code 18
Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion Tim Op De Beéck, Wannes Meert, Kurt Schütte, Benedicte Vanwanseele, Jesse Davis code 18
State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming Joel Janek Dabrowski, Ashfaqur Rahman, Andrew George, Stuart Arnold, John McCulloch code 18
Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention Jingyuan Wang, Xiaojian Wang, Junjie Wu code 18
BagMinHash - Minwise Hashing Algorithm for Weighted Sets Otmar Ertl code 18
Isolation Kernel and Its Effect on SVM Kai Ming Ting, Yue Zhu, ZhiHua Zhou code 18
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao code 17
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He code 17
Multi-Type Itemset Embedding for Learning Behavior Success Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla code 17
Local Latent Space Models for Top-N Recommendation Evangelia Christakopoulou, George Karypis code 17
Deep Censored Learning of the Winning Price in the Real Time Bidding Wush ChiHsuan Wu, MiYen Yeh, MingSyan Chen code 17
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan code 17
EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph Properties Himchan Park, MinSoo Kim code 16
Towards Mitigating the Class-Imbalance Problem for Partial Label Learning Jing Wang, MinLing Zhang code 16
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su code 16
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products Ângelo Cardoso, Fabio Daolio, Saúl Vargas code 15
Efficient Similar Region Search with Deep Metric Learning Yiding Liu, Kaiqi Zhao, Gao Cong code 15
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi code 15
Applying the Delta Method in Metric Analytics: A Practical Guide with Novel Ideas Alex Deng, Ulf Knoblich, Jiannan Lu code 15
Where Will Dockless Shared Bikes be Stacked?: - Parking Hotspots Detection in a New City Zhaoyang Liu, Yanyan Shen, Yanmin Zhu code 15
A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators Elaheh Sadredini, Deyuan Guo, Chunkun Bo, Reza Rahimi, Kevin Skadron, Hongning Wang code 15
Active Feature Acquisition with Supervised Matrix Completion ShengJun Huang, Miao Xu, MingKun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen code 15
Prediction-time Efficient Classification Using Feature Computational Dependencies Liang Zhao, Amir AlipourFanid, Martin Slawski, Kai Zeng code 15
Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners Yao Zhou, Arun Reddy Nelakurthi, Jingrui He code 15
Rare Query Expansion Through Generative Adversarial Networks in Search Advertising MuChu Lee, Bin Gao, Ruofei Zhang code 14
Calibrated Multi-Task Learning Feiping Nie, Zhanxuan Hu, Xuelong Li code 14
Active Search of Connections for Case Building and Combating Human Trafficking Reihaneh Rabbany, David Bayani, Artur Dubrawski code 14
Generalized Score Functions for Causal Discovery Biwei Huang, Kun Zhang, Yizhu Lin, Bernhard Schölkopf, Clark Glymour code 14
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang code 14
FAHES: A Robust Disguised Missing Values Detector Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Raul Castro Fernandez, Mourad Ouzzani, Nan Tang code 14
Geographical Hidden Markov Tree for Flood Extent Mapping Miao Xie, Zhe Jiang, Arpan Man Sainju code 14
Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching Changying Du, Changde Du, Xingyu Xie, Chen Zhang, Hao Wang code 13
Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Zhongxiang Zhao code 13
On Discrimination Discovery and Removal in Ranked Data using Causal Graph Yongkai Wu, Lu Zhang, Xintao Wu code 13
When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data Lin Gong, Hongning Wang code 13
Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions Daniel Ting code 13
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning Vijay Manikandan Janakiraman code 13
LARC: Learning Activity-Regularized Overlapping Communities Across Time Alexander Gorovits, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov code 13
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm code 13
Learning Credible Models Jiaxuan Wang, Jeeheh Oh, Haozhu Wang, Jenna Wiens code 13
Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search Xiao Bai, Erik Ordentlich, Yuanyuan Zhang, Andy Feng, Adwait Ratnaparkhi, Reena Somvanshi, Aldi Tjahjadi code 12
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan Jacob D. Abernethy, Alex Chojnacki, Arya Farahi, Eric M. Schwartz, Jared Webb code 12
E-tail Product Return Prediction via Hypergraph-based Local Graph Cut Jianbo Li, Jingrui He, Yada Zhu code 12
Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach Rainer Schlosser, Martin Boissier code 12
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han code 12
Active Opinion Maximization in Social Networks Xinyue Liu, Xiangnan Kong, Philip S. Yu code 12
Transcribing Content from Structural Images with Spotlight Mechanism Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu code 12
Discrete Ranking-based Matrix Factorization with Self-Paced Learning Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang code 11
Algorithms for Hiring and Outsourcing in the Online Labor Market Aris Anagnostopoulos, Carlos Castillo, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi code 11
WattHome: A Data-driven Approach for Energy Efficiency Analytics at City-scale Srinivasan Iyengar, Stephen Lee, David E. Irwin, Prashant J. Shenoy, Benjamin Weil code 11
Metric Learning from Probabilistic Labels Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang code 11
Efficient Mining of the Most Significant Patterns with Permutation Testing Leonardo Pellegrina, Fabio Vandin code 11
An Iterative Global Structure-Assisted Labeled Network Aligner Abdurrahman Yasar, Ümit V. Çatalyürek code 11
False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments Yuxiang Xie, Nanyu Chen, Xiaolin Shi code 10
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks Shahar Harel, Kira Radinsky code 10
An Extensible Event Extraction System With Cross-Media Event Resolution Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner code 10
RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang code 10
Investor-Imitator: A Framework for Trading Knowledge Extraction Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, TieYan Liu code 10
New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine Bin Gu, XiaoTong Yuan, Songcan Chen, Heng Huang code 10
Decoupled Learning for Factorial Marked Temporal Point Processes Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha code 10
StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments Chen Zhang, Yijun Wang, Can Chen, Changying Du, Hongzhi Yin, Hao Wang code 10
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform Jinfeng Rao, Ferhan Türe, Jimmy Lin code 9
Learning and Transferring IDs Representation in E-commerce Kui Zhao, Yuechuan Li, Zhaoqian Shuai, Cheng Yang code 9
Winner's Curse: Bias Estimation for Total Effects of Features in Online Controlled Experiments Minyong R. Lee, Milan Shen code 9
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary Xi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi code 9
Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email Ying Sheng, Sandeep Tata, James B. Wendt, Jing Xie, Qi Zhao, Marc Najork code 9
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project Tom Diethe, Mike Holmes, Meelis Kull, Miquel PerellóNieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach code 9
Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio - Episode 1: Machine Transcription of the Manuscripts Donatella Firmani, Marco Maiorino, Paolo Merialdo, Elena Nieddu code 9
A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint Xijun Li, Mingxuan Yuan, Di Chen, Jianguo Yao, Jia Zeng code 9
A Dynamic Pipeline for Spatio-Temporal Fire Risk Prediction Bhavkaran Singh Walia, Qianyi Hu, Jeffrey Chen, Fangyan Chen, Jessica Lee, Nathan Kuo, Palak Narang, Jason Batts, Geoffrey Arnold, Michael Madaio code 9
Voxel Deconvolutional Networks for 3D Brain Image Labeling Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji code 9
TINET: Learning Invariant Networks via Knowledge Transfer Chen Luo, Zhengzhang Chen, LuAn Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye code 9
On the Generative Discovery of Structured Medical Knowledge Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu code 9
Multi-label Learning with Highly Incomplete Data via Collaborative Embedding Yufei Han, Guolei Sun, Yun Shen, Xiangliang Zhang code 8
Variable Selection and Task Grouping for Multi-Task Learning JunYong Jeong, ChiHyuck Jun code 8
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff code 8
SQR: Balancing Speed, Quality and Risk in Online Experiments Ya Xu, Weitao Duan, Shaochen Huang code 8
Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model Bang Zhang, Lelin Zhang, Ting Guo, Yang Wang, Fang Chen code 8
An Empirical Evaluation of Sketching for Numerical Linear Algebra Yogesh Dahiya, Dimitris Konomis, David P. Woodruff code 8
New Robust Metric Learning Model Using Maximum Correntropy Criterion Jie Xu, Lei Luo, Cheng Deng, Heng Huang code 8
Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets Marios Kokkodis code 7
Optimal Allocation of Real-Time-Bidding and Direct Campaigns Grégoire Jauvion, Nicolas Grislain code 7
Notification Volume Control and Optimization System at Pinterest Bo Zhao, Koichiro Narita, Burkay Orten, John Egan code 7
Node Similarity with q -Grams for Real-World Labeled Networks Alessio Conte, Gaspare Ferraro, Roberto Grossi, Andrea Marino, Kunihiko Sadakane, Takeaki Uno code 7
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data Qingwei Lin, Weichen Ke, JianGuang Lou, Hongyu Zhang, Kaixin Sui, Yong Xu, Ziyi Zhou, Bo Qiao, Dongmei Zhang code 7
Career Transitions and Trajectories: A Case Study in Computing Tara Safavi, Maryam Davoodi, Danai Koutra code 7
Network Connectivity Optimization: Fundamental Limits and Effective Algorithms Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong code 7
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization Chingpei Lee, Cong Han Lim, Stephen J. Wright code 7
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun code 7
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors Ying Shan, Jian Jiao, Jie Zhu, J. C. Mao code 6
MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension Matteo Riondato, Fabio Vandin code 6
Deploying Machine Learning Models for Public Policy: A Framework Klaus Ackermann, Joe Walsh, Adolfo De Unánue, Hareem Naveed, Andrea Navarrete Rivera, SunJoo Lee, Jason Bennett, Michael Defoe, Crystal Cody, Lauren Haynes, Rayid Ghani code 6
Near Real-time Optimization of Activity-based Notifications Yan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, P. J. Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee code 6
SDREGION: Fast Spotting of Changing Communities in Biological Networks Serene W. H. Wong, Chiara Pastrello, Max Kotlyar, Christos Faloutsos, Igor Jurisica code 6
Classifying and Counting with Recurrent Contexts Denis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista code 6
Latent Variable Time-varying Network Inference Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri code 6
Learning and Interpreting Complex Distributions in Empirical Data Chengxi Zang, Peng Cui, Wenwu Zhu code 6
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks Piero Molino, Huaixiu Zheng, YiChia Wang code 5
Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb code 5
Detection of Apathy in Alzheimer Patients by Analysing Visual Scanning Behaviour with RNNs Jonathan Chung, Sarah A. Chau, Nathan Herrmann, Krista L. Lanctôt, Moshe Eizenman code 5
Adaptive Paywall Mechanism for Digital News Media Heidar Davoudi, Aijun An, Morteza Zihayat, Gordon Edall code 5
Optimal Distributed Submodular Optimization via Sketching MohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni code 5
Learning-to-Ask: Knowledge Acquisition via 20 Questions Yihong Chen, Bei Chen, Xuguang Duan, JianGuang Lou, Yue Wang, Wenwu Zhu, Yong Cao code 5
Training Big Random Forests with Little Resources Fabian Gieseke, Christian Igel code 5
Learning Dynamics of Decision Boundaries without Additional Labeled Data Atsutoshi Kumagai, Tomoharu Iwata code 5
Are your data gathered? Alban Siffer, PierreAlain Fouque, Alexandre Termier, Christine Largouët code 5
Safe Triplet Screening for Distance Metric Learning Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama code 5
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou code 4
Efficient Attribute Recommendation with Probabilistic Guarantee Chi Wang, Kaushik Chakrabarti code 4
Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang code 4
Discovering Models from Structural and Behavioral Brain Imaging Data Zilong Bai, Buyue Qian, Ian Davidson code 4
Active Deep Learning to Tune Down the Noise in Labels Karan Samel, Xu Miao code 4
A Dual Markov Chain Topic Model for Dynamic Environments Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou code 4
Automated Local Regression Discontinuity Design Discovery William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill code 4
Optimizing Cluster-based Randomized Experiments under Monotonicity Jean PougetAbadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi code 4
Software 2.0 and Snorkel: Beyond Hand-Labeled Data Christopher Ré code 4
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz code 3
Improving Box Office Result Predictions for Movies Using Consumer-Centric Models Rui Paulo Ruhrländer, Martin Boissier, Matthias Uflacker code 3
Disturbance Grassmann Kernels for Subspace-Based Learning Junyuan Hong, Huanhuan Chen, Feng Lin code 3
Online Parameter Selection for Web-based Ranking Problems Deepak Agarwal, Kinjal Basu, Souvik Ghosh, Ying Xuan, Yang Yang, Liang Zhang code 2
Distributed Collaborative Hashing and Its Applications in Ant Financial Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li code 2
Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data Xumin Chen, Peng Cui, Lingling Yi, Shiqiang Yang code 2
Assessing Candidate Preference through Web Browsing History Giovanni Comarela, Ramakrishnan Durairajan, Paul Barford, Dino P. Christenson, Mark Crovella code 2
Data Science and Entertainment Production Jen Walraven code 2
Data for Good: Abstract Jeannette M. Wing code 2
Automated Audience Segmentation Using Reputation Signals Maria Daltayanni, Ali Dasdan, Luca de Alfaro code 2
Device Graphing by Example Keith Funkhouser, Matthew Malloy, Enis Ceyhun Alp, Phillip Poon, Paul Barford code 2
PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students Mark Silvis, Anthony Sicilia, Alexandros Labrinidis code 2
Transfer Learning via Feature Isomorphism Discovery Shimin Di, Jingshu Peng, Yanyan Shen, Lei Chen code 2
Can Who-Edits-What Predict Edit Survival? Ali Batuhan Yardim, Victor Kristof, Lucas Maystre, Matthias Grossglauser code 2
Accelerated Equivalence Structure Extraction via Pairwise Incremental Search Seiya Satoh, Yoshinobu Takahashi, Hiroshi Yamakawa code 1
Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig code 1
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition Issei Sato, Yukihiro Nomura, Shouhei Hanaoka, Soichiro Miki, Naoto Hayashi, Osamu Abe, Yoshitaka Masutani code 1
Lessons Learned from Developing and Deploying a Large-Scale Employer Name Normalization System for Online Recruitment Qiaoling Liu, Josh Chao, Thomas Mahoney, Alan Chern, Chris Min, Faizan Javed, Valentin Jijkoun code 1
Sketched Follow-The-Regularized-Leader for Online Factorization Machine Luo Luo, Wenpeng Zhang, Zhihua Zhang, Wenwu Zhu, Tong Zhang, Jian Pei code 1
SysML: On System and Algorithm Co-design for Practical Machine Learning Eric P. Xing code 1
On Big Data Learning for Small Data Problems Yee Whye Teh code 1
Data Science for Financial Applications David J. Hand code 1
Pangloss: Fast Entity Linking in Noisy Text Environments Michael D. Conover, Matthew Hayes, Scott Blackburn, Pete Skomoroch, Sam Shah code 1
PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference Compounds Maksim Koptelov, Albrecht Zimmermann, Pascal Bonnet, Ronan Bureau, Bruno Crémilleux code 1
Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation Boyang Liu, PangNing Tan, Jiayu Zhou code 1
Humans, Jobs, and the Economy: The Future of Finance in the Age of Big Data James Hodson code 1
Societal Impact of Data Science and Artificial Intelligence Foster J. Provost, James Hodson, Jeannette M. Wing, Qiang Yang, Jennifer Neville code 1
Data Science at Flipkart - An Indian E-Commerce company Mayur Datar code 0
Building Near Realtime Contextual Recommendations for Active Communities on LinkedIn Hema Raghavan code 0
The Pinterest Approach to Machine Learning Li Fan code 0
PCA by Determinant Optimisation has no Spurious Local Optima Raphael A. Hauser, Armin Eftekhari, Heinrich F. Matzinger code 0
Market Design and Computerized Marketplaces Alvin E. Roth code 0
Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers Yeming Shi, Claudia Perlich, Rod Hook, Wickus Martin, Melinda Han Williams, Justin Moynihan, Patrick McCarthy, Peter Lenz, Reka DanielWeiner, Roger Cost code 0
A Real-time Framework for Detecting Efficiency Regressions in a Globally Distributed Codebase Martin ValdezVivas, Caner Gocmen, Andrii Korotkov, Ethan Fang, Kapil Goenka, Sherry Chen code 0
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts code 0
Parsing to Programs: A Framework for Situated QA Mrinmaya Sachan, Eric P. Xing code 0
Computational Advertising at Scale Suju Rajan code 0
Planet-Scale Land Cover Classification with FPGAs Joseph Sirosh code 0
Algorithms, Data, Hardware and Tools: A Perfect Storm Alex Smola code 0