KDD 2022: all accepted papers
- Toolkit for Time Series Anomaly Detection ↗Dhaval J. Patel, Dzung T. Phan, Markus Mueller et al.5 citations
- Towards a Native Quantum Paradigm for Graph Representation Learning ↗Ge Yan, Yehui Tang, Junchi Yan5 citations
- User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking ↗Chenxu Zhu, Peng Du, Xianghui Zhu et al.5 citations
- What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? ↗Ha Xuan Tran, Thuc Duy Le, Jiuyong Li et al.5 citations
- A Generalized Backward Compatibility Metric ↗Tomoya Sakai4 citations
- A Practical Introduction to Federated Learning ↗Yaliang Li, Bolin Ding, Jingren Zhou4 citations
- AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System ↗Xiang Li, Xiaojiang Zhou, Yao Xiao et al.4 citations
- Causal Discovery on Non-Euclidean Data ↗Jing Yang, Kai Xie, Ning An4 citations
- Characterizing Covid Waves via Spatio-Temporal Decomposition ↗Kevin Quinn, Evimaria Terzi, Mark E. Crovella4 citations
- Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning ↗Jiannan Guo, Yangyang Kang, Yu Duan et al.4 citations
- Core-periphery Partitioning and Quantum Annealing ↗Catherine F. Higham, Desmond John Higham, Francesco Tudisco4 citations
- Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance ↗Carl Yang, Hongwen Song, Mingyue Tang et al.4 citations
- ERNet ↗Yao Su, Zhentian Qian, Lifang He et al.4 citations
- Epidemic Forecasting with a Data-Centric Lens ↗Alexander Rodríguez, Harshavardhan Kamarthi, B. Aditya Prakash4 citations
- Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles ↗Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder4 citations
- Framing Algorithmic Recourse for Anomaly Detection ↗Debanjan Datta, Feng Chen, Naren Ramakrishnan4 citations
- Graph-based Multilingual Language Model ↗Nurendra Choudhary, Nikhil Rao, Karthik Subbian et al.4 citations
- Graph-in-Graph Network for Automatic Gene Ontology Description Generation ↗Fenglin Liu, Bang Yang, Chenyu You et al.4 citations
- Interpretable Personalized Experimentation ↗Han Wu, Sarah Tan, Weiwei Li et al.4 citations
- Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders ↗Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai et al.4 citations
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365 ↗Lu Wang, Pu Zhao, Chao Du et al.4 citations
- Neural Bandit with Arm Group Graph ↗Yunzhe Qi, Yikun Ban, Jingrui He4 citations
- Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction ↗Yu Ma, Zhining Liu, Chenyi Zhuang et al.4 citations
- Nonlinearity Encoding for Extrapolation of Neural Networks ↗Gyoung S. Na, Chanyoung Park4 citations
- Partial-Quasi-Newton Methods ↗Chengchang Liu, Shuxian Bi, Luo Luo et al.4 citations
- Rapid Regression Detection in Software Deployments through Sequential Testing ↗Michael Lindon, Chris Sanden, Vaché Shirikian4 citations
- Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment ↗Handong Ma, Jiahang Cao, Yuchen Fang et al.4 citations
- Robust and Informative Text Augmentation (RITA) via Constrained Worst-Case Transformations for Low-Resource Named Entity Recognition ↗Hyunwoo Sohn, Baekkwan Park4 citations
- Scalar is Not Enough ↗Mouxiang Chen, Chenghao Liu, Zemin Liu et al.4 citations
- Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation ↗Rajdeep Sarkar, Sourav Dutta, Haytham Assem et al.4 citations
- Septor: Seismic Depth Estimation Using Hierarchical Neural Networks ↗M Ashraf Siddiquee, Vinícius M. A. Souza, Gavin Baker et al.4 citations
- Toward Real-life Dialogue State Tracking Involving Negative Feedback Utterances ↗Puhai Yang, Heyan Huang, Wei Wei et al.4 citations
- pureGAM: Learning an Inherently Pure Additive Model ↗Xingzhi Sun, Ziyu Wang, Rui Ding et al.4 citations
- ACM KDD AI4Cyber/MLHat: Workshop on AI-enabled Cybersecurity Analytics and Deployable Defense ↗Sagar Samtani, Gang Wang, Ali Ahmadzadeh et al.3 citations
- ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation ↗Guansong Pang, Jundong Li, Anton van den Hengel et al.3 citations
- Active Model Adaptation Under Unknown Shift ↗Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng et al.3 citations
- AdaAX ↗Dat Hong, Alberto M. Segre, Tong Wang3 citations
- Anomaly Detection for Spatiotemporal Data in Action ↗Guang Yang, Ninad Kulkarni, Paavani Dua et al.3 citations
- BE3R: BERT based Early-Exit Using Expert Routing ↗Sourab Mangrulkar, M S Ankith, Vivek Sembium3 citations
- CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation ↗Xiaoyu Wang, Bin Tan, Yonghui Guo et al.3 citations
- DP-GAT: A Framework for Image-based Disease Progression Prediction ↗Alex Foo, Wynne Hsu, Mong Li Lee et al.3 citations
- Decision Intelligence and Analytics for Online Marketplaces ↗Zhiwei Tony Qin, Liangjie Hong, Rui Song et al.3 citations
- External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters ↗Can Qin, Sungchul Kim, Handong Zhao et al.3 citations
- Generalized Deep Mixed Models ↗Jun Shi, Chengming Jiang, Aman Gupta et al.3 citations
- Graph-based Representation Learning for Web-scale Recommender Systems ↗Ahmed El-Kishky, Michael M. Bronstein, Ying Xiao et al.3 citations
- Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty ↗Christopher Tran, Elena Zheleva3 citations
- Integrity Authentication in Tree Models ↗Weijie Zhao, Yingjie Lao, Ping Li3 citations
- International Workshop on Data-driven Science of Science ↗Yi Bu, Meijun Liu, Yujia Zhai et al.3 citations
- Large-Scale Acoustic Automobile Fault Detection: Diagnosing Engines Through Sound ↗Dennis Fedorishin, Justas Birgiolas, Deen Dayal Mohan et al.3 citations
- Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search ↗Imad Aouali, Amine Benhalloum, Martin Bompaire et al.3 citations
- SIPF: Sampling Method for Inverse Protein Folding ↗Tianfan Fu, Jimeng Sun3 citations
- Sparx: Distributed Outlier Detection at Scale ↗Sean X. Zhang, Varun Ursekar, Leman Akoglu3 citations
- Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model ↗Yunfei Lu, Peng Cui, Linyun Yu et al.3 citations
- Variational Flow Graphical Model ↗Shaogang Ren, Belhal Karimi, Dingcheng Li et al.3 citations
- Why Data Scientists Prefer Glassbox Machine Learning ↗Rich Caruana, Harsha Nori3 citations
- Workshop on Applied Machine Learning Management ↗Dmitri Goldenberg, Elena Sokolova, Shir Meir Lador et al.3 citations
- A Logic Aware Neural Generation Method for Explainable Data-to-text ↗Xiexiong Lin, Huaisong Li, Tao Huang et al.2 citations
- Avoiding Biases due to Similarity Assumptions in Node Embeddings ↗Deepayan Chakrabarti2 citations
- Classifying Multimodal Data Using Transformers ↗Watson Wei Khong Chua, Lu Li, Alvina Goh2 citations
- Compute Like Humans: Interpretable Step-by-step Symbolic Computation with Deep Neural Network ↗Shuai Peng, Di Fu, Yong Cao et al.2 citations
- Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow ↗Thomas Vandal, Kate Marie Duffy, Will McCarty et al.2 citations
- Design Domain Specific Neural Network via Symbolic Testing ↗Hui Li, Xing Fu, Ruofan Wu et al.2 citations
- Dynamic Graph Segmentation for Deep Graph Neural Networks ↗Johan Kok Zhi Kang, Suwei Yang, Suriya Venkatesan et al.2 citations
- Efficient Machine Learning on Large-Scale Graphs ↗Parker Erickson, Victor E. Lee, Feng Shi et al.2 citations
- Finding Meta Winning Ticket to Train Your MAML ↗Dawei Gao, Yuexiang Xie, Zimu Zhou et al.2 citations
- Hyperbolic Neural Networks: Theory, Architectures and Applications ↗Nurendra Choudhary, Nikhil Rao, Karthik Subbian et al.2 citations
- KDD Workshop on Machine Learning in Finance ↗Senthil Kumar, Leman Akoglu, Nitesh V. Chawla et al.2 citations
- New Frontiers of Scientific Text Mining ↗Xuan Wang, Hongwei Wang, Heng Ji et al.2 citations
- Recommendation in Offline Stores ↗Jongkyung Shin, Changhun Lee, Chiehyeon Lim et al.2 citations
- Releasing Private Data for Numerical Queries ↗Yuan Ying Qiu, Wei Dong, Ke Yi et al.2 citations
- T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling ↗Yiren Jian, Erik Kruus, Martin Renqiang Min2 citations
- TaxoTrans ↗Zhuliu Li, Yiming Wang, Yan Xiao et al.2 citations
- Type Linking for Query Understanding and Semantic Search ↗Giorgos Stoilos, Nikos Papasarantopoulos, Pavlos Vougiouklis et al.2 citations
- concept2code: Deep Reinforcement Learning for Conversational AI ↗Omprakash Sonie, Abir Chakraborty, Ankan Mullick2 citations
- 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022 ↗Roberto Corizzo, Junfeng Ge, Colin Bellinger et al.1 citation
- A Graph Learning Based Framework for Billion-Scale Offline User Identification ↗Daixin Wang, Zujian Weng, Zhengwei Wu et al.1 citation
- AI for Social Impact ↗Milind Tambe1 citation
- AdKDD 2022 ↗Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic et al.1 citation
- Balancing Bias and Variance for Active Weakly Supervised Learning ↗Hitesh Sapkota, Qi Yu1 citation
- COSSUM: Towards Conversation-Oriented Structured Summarization for Automatic Medical Insurance Assessment ↗Sheng Xu, Xiaojun Wan, Sen Hu et al.1 citation
- Data-driven Humanitarian Mapping and Policymaking ↗Snehalkumar S. Gaikwad, Shankar Iyer, Dalton Lunga et al.1 citation
- Deep Learning for Prognosis Using Task-fMRI ↗Ge Shi, Jason Smucny, Ian A. K. Davidson1 citation
- Deep Search Relevance Ranking in Practice ↗Linsey Xiaolin Pang, Wei Liu, Keng-hao Chang et al.1 citation
- Discovering Invariant and Changing Mechanisms from Data ↗Sarah Mameche, David Kaltenpoth, Jilles Vreeken1 citation
- End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks ↗Ziran Xiong, Wanli Shi, Bin Gu1 citation
- Fragile Earth ↗Naoki Abe, Kathleen Carmel Buckingham, Bistra Dilkina et al.1 citation
- Generating Examples from CLI Usage: Can Transformers Help? ↗Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement et al.1 citation
- Geometric Policy Iteration for Markov Decision Processes ↗Yue Wu, Jesús A. De Loera1 citation
- HyperAid ↗Eli Chien, Puoya Tabaghi, Olgica Milenković1 citation
- International Workshop on Knowledge Graphs ↗Ying Ding, Amit Sheth, Krzysztof Janowicz et al.1 citation
- KRATOS: Context-Aware Cell Type Classification and Interpretation using Joint Dimensionality Reduction and Clustering ↗Zihan Zhou, Zijia Du, Somali Chaterji1 citation
- Modern Theoretical Tools for Designing Information Retrieval System ↗Da Xu, Chuanwei Ruan1 citation
- Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction ↗Yue Han, Steve Q. Xia, Hongfu Liu1 citation
- Numerical Tuple Extraction from Tables with Pre-training ↗Qingping Yang, Yixuan Cao, Ping Luo1 citation
- Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data ↗Xiaobo Xia, Shuo Shan, Mingming Gong et al.1 citation
- Sufficient Vision Transformer ↗Zhi Cheng, Xiu Qin Su, Xueyu Wang et al.1 citation
- Towards Reliable Detection of Dielectric Hotspots in Thermal Images of the Underground Distribution Network ↗François Mirallès, Luc Cauchon, Marc-André Magnan et al.1 citation
- Workshop on Applied Data Science for Healthcare (DSHealth) ↗Tao Xu, Fei Wang, Prithwish Chakraborty et al.1 citation
- epiDAMIK 5.0 ↗Bijaya Adhikari, Amulya Yadav, Sen Pei et al.1 citation
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