KDD

An Efficient Framework for Balancing Submodularity and Cost

Sofia Maria Nikolakaki, Alina Ene, Evimaria Terzi

Comments Extended version of KDD 2021 paper

Position Masking for Improved Layout-Aware Document Understanding

Anik Saha, Catherine Finegan-Dollak, Ashish Verma

Comments Document Intelligence Workshop at KDD, 2021

Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning

Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu

Comments KDD Workshop on Deep Learning on Graphs: Method and Applications (DLG@KDD 2021)

To tune or not to tune? An Approach for Recommending Important Hyperparameters

Mohamadjavad Bahmani, Radwa El Shawi, Nshan Potikyan, Sherif Sakr

Comments Presented on The Fifth International Workshop on Automation in Machine Learning, A workshop to be held in conjunction with the KDD 2021 Conference

Auto-Split: A General Framework of Collaborative Edge-Cloud AI

Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang

Comments Published in KDD 2021. Code and demo available at: https://marketplace.huaweicloud.com/markets/aihub/notebook/detail/?id=5fad1eb4-50b2-4ac9-bcb0-a1f744cf85c7

Journal ref KDD '21: the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, August 2021

With One Voice: Composing a Travel Voice Assistant from Re-purposed Models

Shachaf Poran, Gil Amsalem, Amit Beka, Dmitri Goldenberg

Comments 2nd International Workshop on Industrial Recommendation Systems @ KDD 2021

Journal ref 2nd International Workshop on Industrial Recommendation Systems @ KDD 2021

Socially-Aware Self-Supervised Tri-Training for Recommendation

Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung

Comments 9 pages, accepted by KDD'21

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

Hao Xue, Flora D. Salim

Comments Accepted to ACM KDD 2021

Detection of Criminal Texts for the Polish State Border Guard

Artur Nowakowski, Krzysztof Jassem

Comments Accepted for MIS2 workshop at KDD 2021

Fairness-Aware Online Meta-learning

Chen Zhao, Feng Chen, Bhavani Thuraisingham

Comments KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Session-Aware Query Auto-completion using Extreme Multi-label Ranking

Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon

Comments Accepted in KDD 2021. Updated results for baseline XMR

STRATA: Simple, Gradient-Free Attacks for Models of Code

Jacob M. Springer, Bryn Marie Reinstadler, Una-May O'Reilly

Comments KDD'21 AdvML Workshop

Sublinear Maximum Inner Product Search using Concomitants of Extreme Order Statistics

Ninh Pham

Comments A short version with a new title "Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics" appears in KDD 2021

Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19

Shuhui Gong, Xiaopeng Mo, Rui Cao, Yu Liu, Wei Tu, Ruibin Bai

Comments DeepSpatial '21: 2nd ACM SIGKDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (https://cs.emory.edu/~lzhao41/venues/DeepSpatial2021/)

Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study

Amitoj Singh, Jingshu Chen, Lihao Zhang, Amin Rasekh, Ilana Golbin, Anand Rao

Comments 27th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), August 14 - 18, 2021 - Singapore

Identifying Biased Subgroups in Ranking and Classification

Eliana Pastor, Luca de Alfaro, Elena Baralis

Comments 5 pages

Journal ref In Responsible AI @ KDD 2021 Workshop, 2021

Weakly Supervised Classification Using Group-Level Labels

Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar

Comments Presented at the DeMaL workshop, KDD'21

Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping

Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

Comments 9 Pages, 7 figures, presented at the DeepSpatial workshop at KDD'21

Choice Set Confounding in Discrete Choice

Kiran Tomlinson, Johan Ugander, Austin R. Benson

Comments 12 pages, KDD 2021 version

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction

Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning

Comments 11 pages (2 pages of supplementary), 10 figures, 7 tables. Accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)

Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models

Guanqun Yang, Shay Dineen, Zhipeng Lin, Xueqing Liu

Comments Accepted by MLHat @ KDD '21

DQN Control Solution for KDD Cup 2021 City Brain Challenge

Yitian Chen, Kunlong Chen, Kunjin Chen, Lin Wang

Comments 5 pages, report for KDD Cup 2021 City Brain Challenge workshop

Vision Transformer Pruning

Mingjian Zhu, Yehui Tang, Kai Han

Comments Accepted by the KDD 2021 Workshop on Model Mining

Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice

Jiahao Chen, Victor Storchan, Eren Kurshan

Comments 6 pages; presented at ACM SIGKDD Workshop on Machine Learning in Finance (KDD-MLF) 2021

A Bayesian Approach to In-Game Win Probability in Soccer

Pieter Robberechts, Jan Van Haaren, Jesse Davis

Journal ref In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (2021) 3512-3521

Advancing Data for Street-level Flood Vulnerability: Extraction of Variables from Google Street View in Quito, Ecuador

Raychell Velez, Diana Calderon, Lauren Carey, Christopher Aime, Carolynne Hultquist, Greg Yetman, Andrew Kruczkiewicz, Yuri Gorokhovich, Robert S. Chen

Comments 8 pages, 5 figures, ACM KDD Workshop on Data-Driven Humanitarian Mapping 2021

Learning Based Proximity Matrix Factorization for Node Embedding

Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang

Comments Updates to KDD paper: 1. There were some implementation issues on undirected graphs for NRP (now fixed). We rerun with new code. 2.There were some implementation issues in our evaluation code for node classification on directed graphs. We rerun on directed graphs. 3. We observe significant improvement on Orkut dataset for node classification if normalization is applied. We rerun with normalization

Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling

Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu

Comments Accepted at KDD 2021

Seven challenges for harmonizing explainability requirements

Jiahao Chen, Victor Storchan

Comments 5 pages; Spotlight paper at the ACM SIGKDD Workshop on Machine Learning in Finance 2021

Retrieval & Interaction Machine for Tabular Data Prediction

Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu

Comments SIGKDD 2021