August 14, 2021 – August 18, 2021

Microsoft at KDD 2021

위치: Virtual

모든 시간은 CST (UTC +8)

09:00 – 12:00 Tutorial

Language Scaling: Applications, Challenges and Approaches

Presenters: Linjun Shou, Ming Gong, Xiubo Geng, Xinjie Zhou, Daxin Jiang

04:00 – 07:00 Tutorial

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber

Presenters: Greg Lewis, Vasilis Syrgkanis, Miruna Oprescu, Maggie Hei,
Contributors: Keith Battocchi, Eleanor Dillon
08:00 – 12:00 Workshop

2nd ACM SIGKDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems

Program Committee: Wei Wang
08:00 – 12:00 Workshop

3rd International Workshop on Data Science for Social Good

Workshop Chair: Eric Horvitz
08:00 – 12:00 Workshop

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021

Workshop Chair: Kan Ren
08:00 – 12:00 Workshop

The 4th International Workshop on Artificial Intelligence of Things

Program Co-Chair: Jian Zhang
Steering Committee: Victor Bahl
Competition Chair: Yuanchao Shu
Program Committee: John Sheehan, Qingwei Lin
Workshop B: August 15
08:00 – 12:00 Workshop

Visualization in Data Science

Program Committee: Yun Wang
13:00 – 17:00 Workshop

The 4th International Workshop on Artificial Intelligence of Things

Program Co-Chair: Jian Zhang
Steering Committee: Victor Bahl
Competition Chair: Yuanchao Shu
Program Committee: John Sheehan, Qingwei Lin
Workshop A: August 15
23:00 – 03:00 Workshop

KDD 2021 TrueFact Workshop: Making a Credible Web for Tomorrow
23:00 – 03:00 Workshop

1st KDD Workshop on AI-enabled Cybersecurity Analytics

Program Committee: Hyrum Anderson
23:00 – 03:00 Workshop

2nd International Workshop on Industrial Recommendation Systems

Program Committee: Mengting Wan
Workshop B: August 16
23:00 – 03:00 Workshop

7th SIGKDD Workshop on Mining and Learning from Time Series

Program Committee: Wei Cao
Workshop B: August 16
23:00 – 03:00 Workshop

The Fifth International Workshop on Automation in Machine Learning

Program Committee: Esin Saka
23:00 – 03:00 Workshop

Measures and Best Practices for Responsible AI

Speakers: Besmira Nushi, Sarah Bird
Organizing Committee: Mehrnoosh Sameki
Workshop B: August 16
23:00 – 03:00 Workshop

Document Intelligence Workshop

Organizing Committee: Yijuan (Lucy) Lu
Program Committee Chair: Benjamin Han
Workshop B: August 16
23:00 – 03:00 Workshop

Outlier Detection and Description (ODD)

Fairness Panel: Solon Barocas
Program Committee: Prateek Chanda, Yujing Wang
Workshop B: August 16

04:00 – 08:00 Workshop

2nd International Workshop on Industrial Recommendation Systems

Program Committee: Mengting Wan
Workshop A: August 15
04:00 – 08:00 Workshop

7th SIGKDD Workshop on Mining and Learning from Time Series

Program Committee: Wei Cao
Workshop A: August 15
04:00 – 08:00 Workshop

Measures and Best Practices for Responsible AI

Speakers: Besmira Nushi, Sarah Bird
Organizing Committee: Mehrnoosh Sameki
Workshop A: August 15
04:00 – 08:00 Workshop

Document Intelligence Workshop

Organizing Committee: Yijuan (Lucy) Lu
Program Committee Chair: Benjamin Han
Workshop A: August 15
04:00 – 08:00 Workshop

Outlier Detection and Description (ODD

Fairness Panel: Solon Barocas
Program Committee: Prateek Chanda, Yujing Wang
Workshop A: August 15
04:00 – 08:00 Workshop

3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining

Technical Program Committee: Paishun Ting, Chun-Chen Tu
13:00 – 14:30 Talk

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
관련 출판물
- Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
  
  Shining Liang, Ming Gong (YIMING), Jian Pei, Linjun Shou (寿林钧), Wanli Zuo, Xiang-lin Zuo, Daxin Jiang (姜大昕)
14:30 – 16:00 Talk

Few-shot Neural Sequence Labeling via Meta Self-training
관련 출판물
- Meta Self-training for Few-shot Neural Sequence Labeling
  
  Yaqing Wang, Subhabrata (Subho) Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Awadallah
14:30 – 16:00 Talk

HALO: Hierarchy-aware Fault Localization for Cloud Systems
관련 출판물
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

01:30 – 03:00 Talk

DeGNN: Improving Graph Neural Networks with Graph Decomposition
관련 출판물
- DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition
  
  Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang
01:30 – 03:00 Talk

Web-Scale Generic Object Detection at Microsoft Bing
관련 출판물
- Web-Scale Generic Object Detection at Microsoft Bing
  
  Stephen Xi Chen, Saurajit Mukherjee, Unmesh Phadke, Tingting Wang, Junwon Park, Ravi Theja Yada, Xi Chen
05:30 – 07:00 Talk

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
관련 출판물
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
13:00 – 14:30 Talk

Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
관련 출판물
- Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
  
  Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
14:30 – 16:00 Talk

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
관련 출판물
- Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  
  Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
14:30 – 16:00 Talk

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search
관련 출판물
- NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search
  
  Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu
14:30 – 16:00 Talk

Adaptive Transfer Learning on Graph Neural Networks
관련 출판물
- Adaptive Transfer Learning on Graph Neural Networks
  
  Xueting Han, Zhenhuan Huang, Bang An, Jing Bai
16:00 – 17:30 Talk

Generalized Zero-Shot Extreme Multi-label Learning
관련 출판물
- Generalized Zero-Shot Extreme Multi-label Learning
  
  Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
16:00 – 17:30 Talk

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving
관련 출판물
- Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
  
  Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi

04:00 – 05:30 Talk

Table2Charts: Recommending Charts by Learning Shared Table Representations
관련 출판물
- Table2Charts: Recommending Charts by Learning Shared Table Representations
  
  Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
05:30 – 07:00 Talk

OpenBox: A Generalized Black-box Optimization Service
관련 출판물
- OpenBox: A Generalized Black-box Optimization Service
  
  Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huai Jun Jiang, Ming Chao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
05:30 – 07:00 Talk

Contextual Bandit Applications in a Customer Support Bot
관련 출판물
- Contextual Bandit Applications in a Customer Support Bot
  
  Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Sebastian Kochman, Matthew Hall, Wei Chen
13:00 – 14:30 Talk

How Interpretable and Trustworthy are GAMs?
관련 출판물
- How Interpretable and Trustworthy are GAMs
  
  Chun-Hao Chang, Sarah Tan, Ben Lengerich, Anna Goldenberg, Rich Caruana
14:30 – 16:00 Talk

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
관련 출판물
- TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
  
  Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang

01:30 – 03:00 Talk

TUTA: Tree-based Transformers for Generally Structured Table Pre-training
관련 출판물
- TUTA: Tree-based Transformers for Generally Structured Table Pre-training
  
  Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
04:00 – 05:30 Talk

Fed^2: Feature-Aligned Federated Learning
관련 출판물
- Fed^2: Feature-Aligned Federated Learning
  
  Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, ChenChen Liu, Zhi Tian, Xiang Chen
04:00 – 05:30 Talk

Reinforcing Pretrained Models for Generating Attractive Text Advertisements
관련 출판물
- Reinforcing Pretrained Models for Generating Attractive Text Advertisements
  
  Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie
04:00 – 05:30 Talk

Diversity driven Query Rewriting in Search Advertising
관련 출판물
- Diversity driven Query Rewriting in Search Advertising
  
  Akash Kumar Mohankumar, Nikit Begwani, Amit K Singh
07:00 – 08:30 Talk

Micro-climate Prediction – Multi scale encoder-decoder based deep learning framework
관련 출판물
- Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
  
  Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
07:00 – 08:30 Talk

Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing
관련 출판물
- Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing
  
  Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta
07:00 – 08:30 Talk

On Post-Selection Inference in A/B Testing
관련 출판물
- On Post-selection Inference in A/B Testing
  
  Alex Deng, Yicheng Li, Jiannan Lu, Vivek Ramamurthy

Microsoft at KDD 2021

Saturday, August 14, 2021

Language Scaling: Applications, Challenges and Approaches

Sunday, August 15, 2021

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber

Monday, August 16, 2021

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition

Few-shot Neural Sequence Labeling via Meta Self-training

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Tuesday, August 17, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition

Web-Scale Generic Object Detection at Microsoft Bing

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature

Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search

Adaptive Transfer Learning on Graph Neural Networks

Generalized Zero-Shot Extreme Multi-label Learning

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving

Wednesday, August 18, 2021

Table2Charts: Recommending Charts by Learning Shared Table Representations

OpenBox: A Generalized Black-box Optimization Service

Contextual Bandit Applications in a Customer Support Bot

How Interpretable and Trustworthy are GAMs?

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data

Thursday, August 19, 2021

TUTA: Tree-based Transformers for Generally Structured Table Pre-training

Fed^2: Feature-Aligned Federated Learning

Reinforcing Pretrained Models for Generating Attractive Text Advertisements

Diversity driven Query Rewriting in Search Advertising

Micro-climate Prediction – Multi scale encoder-decoder based deep learning framework

Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing

On Post-Selection Inference in A/B Testing