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KDD 2023: all accepted papers

558 papers · page 5 of 6 · the most cited first · ← KDD 2023

1 … 4 5 6

  1. Online Level-wise Hierarchical Clustering ↗Nicholas Monath, Manzil Zaheer, Andrew McCallum5 citations
  2. Open-Set Semi-Supervised Text Classification with Latent Outlier Softening ↗Junfan Chen, Richong Zhang, Junchi Chen et al.5 citations
  3. PASS: Personalized Advertiser-aware Sponsored Search ↗Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo et al.5 citations
  4. Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting ↗Christine P. Herlihy, Aviva Prins, Aravind Srinivasan et al.5 citations
  5. Rapid Image Labeling via Neuro-Symbolic Learning ↗Yifeng Wang, Zhi Tu, Yiwen Xiang et al.5 citations
  6. SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding ↗Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang et al.5 citations
  7. Understanding the Semantics of GPS-based Trajectories for Road Closure Detection ↗Jiasheng Zhang, Kaiqiang An, Guoping Liu et al.5 citations
  8. Augmenting Recurrent Graph Neural Networks with a Cache ↗Guixiang Ma, Vy A. Vo, Theodore L. Willke et al.4 citations
  9. Balancing Approach for Causal Inference at Scale ↗S. Y. Lin, Meng Xu, Zhang Xi et al.4 citations
  10. Boosting Multitask Learning on Graphs through Higher-Order Task Affinities ↗Dongyue Li, Haotian Ju, Aneesh Sharma et al.4 citations
  11. End-to-End Query Term Weighting ↗Karan Samel, Cheng Li, Weize Kong et al.4 citations
  12. Fairness in Graph Machine Learning: Recent Advances and Future Prospectives ↗Yushun Dong, Öykü Deniz Köse, Yanning Shen et al.4 citations
  13. Finding Favourite Tuples on Data Streams with Provably Few Comparisons ↗Guangyi Zhang, Nikolaj Tatti, Aristides Gionis4 citations
  14. Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting ↗Arindam Jati, Vijay Ekambaram, Shaonli Pal et al.4 citations
  15. Large-Scale Graph Neural Networks: The Past and New Frontiers ↗Rui Xue, Haoyu Han, Tong Zhao et al.4 citations
  16. Learning Autoregressive Model in LSM-Tree based Store ↗Yunxiang Su, Wenxuan Ma, Shaoxu Song4 citations
  17. Local Boosting for Weakly-Supervised Learning ↗Rongzhi Zhang, Yue Yu, Jiaming Shen et al.4 citations
  18. M3PT: A Multi-Modal Model for POI Tagging ↗Jingsong Yang, Guanzhou Han, Deqing Yang et al.4 citations
  19. Maximizing Neutrality in News Ordering ↗R. Advani, Paolo Papotti, Abolfazl Asudeh4 citations
  20. Online Few-Shot Time Series Classification for Aftershock Detection ↗Sheng Zhong, Vinícius M. A. Souza, Gavin Baker et al.4 citations
  21. Optimal Dynamic Subset Sampling: Theory and Applications ↗Lü Yi, Hanzhi Wang, Zhewei Wei4 citations
  22. R-Mixup: Riemannian Mixup for Biological Networks ↗Xuan Kan, Zimu Li, Hejie Cui et al.4 citations
  23. Reconstructing Graph Diffusion History from a Single Snapshot ↗Ruizhong Qiu, Dingsu Wang, Lei Ying et al.4 citations
  24. Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment ↗Atharva Kulkarni, Sarah Masud, Vikram Goyal et al.4 citations
  25. Specify Robust Causal Representation from Mixed Observations ↗Mengyue Yang, Xinyu Cai, Furui Liu et al.4 citations
  26. Time-to-Event Modeling with Hypernetwork based Hawkes Process ↗Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar4 citations
  27. Trustworthy Recommender Systems: Foundations and Frontiers ↗Wenqi Fan, Xiangyu Zhao, Lin Wang et al.4 citations
  28. Causal Effect Estimation on Hierarchical Spatial Graph Data ↗Koh Takeuchi, Ryo Nishida, Hisashi Kashima et al.3 citations
  29. Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning ↗Derek Zhiyuan Cheng, Dhaval J. Patel, Linsey Xiaolin Pang et al.3 citations
  30. Graph Neural Networks in TensorFlow ↗Bryan Perozzi, Sami Abu-El-Haija, Anton Tsitsulin3 citations
  31. Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems ↗Xiaohui Chen, Jiankai Sun, Taiqing Wang et al.3 citations
  32. Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls" ↗Mia Mayer, Muhammad Bilal Zafar, Luca Franceschi et al.3 citations
  33. Identifying Complicated Contagion Scenarios from Cascade Data ↗Galen Harrison, Amro Alabsi Aljundi, Jiangzhuo Chen et al.3 citations
  34. Learning Discrete Document Representations in Web Search ↗Rong Huang, Danfeng Zhang, Weixue Lu et al.3 citations
  35. Mining Electronic Health Records for Real-World Evidence ↗Chengxi Zang, Weishen Pan, Fei Wang3 citations
  36. Multi-channel Integrated Recommendation with Exposure Constraints ↗Yue Xu, Qijie Shen, Jianwen Yin et al.3 citations
  37. NEON: Living Needs Prediction System in Meituan ↗Xiaochong Lan, Chen Gao, Shiqi Wen et al.3 citations
  38. PlanRanker: Towards Personalized Ranking of Train Transfer Plans ↗Jia Wei Xu, Wanjie Tao, Zulong Chen et al.3 citations
  39. Rank-heterogeneous Preference Models for School Choice ↗Amel Awadelkarim, Arjun Seshadri, Itai Ashlagi et al.3 citations
  40. The 12th International Workshop on Urban Computing ↗Chuishi Meng, Yanhua Li, Yu Zheng et al.3 citations
  41. When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting ↗Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez et al.3 citations
  42. Workplace Recommendation with Temporal Network Objectives ↗Kiran Tomlinson, Jennifer Neville, Longqi Yang et al.3 citations
  43. 19th International Workshop on Mining and Learning with Graphs (MLG) ↗Neil Shah, Shobeir Fakhraei, Da Zheng et al.2 citations
  44. COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search ↗Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh et al.2 citations
  45. Deep Learning on Graphs: Methods and Applications (DLG-KDD2023) ↗Lingfei Wu, Jian Pei, Jiliang Tang et al.2 citations
  46. Dependence and Model Selection in LLP: The Problem of Variants ↗Gabriel Franco, Mark E. Crovella, Giovanni Comarela2 citations
  47. Detecting Interference in Online Controlled Experiments with Increasing Allocation ↗Kevin Wu Han, Shuangning Li, Jialiang Mao et al.2 citations
  48. Doubly Robust AUC Optimization against Noisy and Adversarial Samples ↗Chenkang Zhang, Wanli Shi, Lei Luo et al.2 citations
  49. Efficient Sparse Linear Bandits under High Dimensional Data ↗Xue Wang, Mike Mingcheng Wei, Tao Yao2 citations
  50. HUGE: Huge Unsupervised Graph Embeddings with TPUs ↗Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger et al.2 citations
  51. KDD Workshop on Machine Learning in Finance ↗Leman Akoglu, Nitesh V. Chawla, Senthil Kumar et al.2 citations
  52. PSLOG: Pretraining with Search Logs for Document Ranking ↗Zhan Su, Zhicheng Dou, Yujia Zhou et al.2 citations
  53. Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force ↗Ritika Pandey, Jeremy G. Carter, James H. Hill et al.2 citations
  54. The Second Workshop on Applied Machine Learning Management ↗Dmitri Goldenberg, Chana Ross, Shir Meir Lador et al.2 citations
  55. Analysis of COVID-19 Offensive Tweets and Their Targets ↗Song Liao, Ebuka Okpala, Long Cheng et al.1 citation

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