Monday, August 20, 2018
KDD 2018 Deep Learning Day Call for Papers
The impact of deep learning in data science has of course been nothing less than transformative. Powered by the surge in modern compute capacities, widespread data availability, and advances in coding frameworks, deep neural networks are now ubiquitous. Deep methods yield state-of-the-art performance on many domains (computer vision, speech recognition and generation, natural language processing), and are still widening their lead as more research appears daily. But the last couple years, the field has matured, just as it was expanding rapidly. A debate is now happening between practitioners and theorists. Methods have clearly gotten more abstract, and the focus is shifting towards more rigorous and robust experiments, and more interpretative theory in order to further develop the great empirical successes that we see.
For the first time at KDD, we are organizing a full Deep Learning Day as a key event, specifically dedicated to the field. The goal will be to provide a clear, wide overview of recent developments in deep learning, including emerging topics deserving of more attention, such as graph convolutional neural networks or computational optimal transport. During the day, we will welcome many diverse and exciting invited speakers from world class research institutions.
Confirmed Speakers
Confirmed speakers for the DL day include:
Schedule
8:00am - 8:30am | Tamara Broderick (MIT) |
8:30am - 9:15am | Keynote: Andrej Karpathy (Tesla) |
9:15am - 9:45am | Qiaozhu Mei (UMich) |
9:45am - 10:15am | Coffee Break |
10:15am - 10:45am | Kyunghyun Cho (NYU / Facebook) |
10:45am - 11:30am | Keynote: Oriol Vinyals (DeepMind) |
11:30am - 12:00pm | Yan Liu (USC) |
12:00pm - 1:00pm | Lunch |
1:00pm - 1:30pm | Ali Rahimi (Google) |
1:30pm - 2:15pm | Keynote: Richard Socher (Salesforce / Stanford) |
2:15pm - 2:30pm | Coffee Break |
2:30pm - 3:00pm | Soumith Chintala (Facebook) |
3:00pm - 3:30pm | Le Song (GaTech) |
3:30pm - 3:45pm | Coffee Break |
3:45pm - 4:30pm | Contributed Spotlights |
7:00pm - 9:30pm | Poster Session (With Research Track Posters) |
Deep Learning Day Accepted Papers
Uday Singh Saini and Evangelos Papalexakis
Guangneng Hu
Chandra Khatri, Gyanit Singh and Nish Parikh
Hongjian Dou, Wayne Xin Zhao, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen and Edward Y. Chang
Simen Eide, Audun Mathias Øygard and Ning Zhou
Sarun Paisarnsrisomsuk, Michael Sokolovsky, Francisco Guerrero, Carolina Ruiz and Sergio Alvarez
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander Bronstein and Emmanuel Müller
Daniel Oñoro-Rubio, Mathias Niepert Niepert and Alberto Garcia-Duran
Keiichi Ochiai, Shu Takahashi and Yusuke Fukazawa
Gonçalo Mordido, Haojin Yang and Christoph Meinel
Humphrey Sheil, Omer Rana and Ronan Reilly
Jose Luis Neves and Rajesh Bordawekar
Igor Gotlibovych, Jessie Li, Stuart Crawford, Dileep Goyal, Jackie Liu, Yaniv Kerem, David Benaron, Defne Yilmaz and Gregory Marcus
Rita Kuznetsova and Oleg Bakhteev
Xi Zhang, Jingyuan Chou and Fei Wang
Yang Gao, Swarup Chandra, Zhuoyi Wang and Latifur Khan
Jiongqian Liang, Saket Gurukar and Srinivasan Parthasarathy
Aynaz Taheri, Kevin Gimpel and Tanya Berger-Wolf
Gabriel Grand, Aron Szanto, Yoon Kim and Alexander Rush
Jiayi Liu, Jayanta Dutta, Nanxiang Li, Unmesh Kurup and Mohak Shah
Harsh Sinha and Pawan Ajmera
Daniel Braithwaite and Bastiaan Kleijn
Rianne van den Berg, Thomas Kipf and Max Welling
Sungyoon Lee, Saerom Park and Jaewook Lee
Ashish Gupta, Rishabh Mehrotra and Manish Gupta
Anshul Gupta and Neel Sundaresan
Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Lifeng Liu and Jian Li
Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton and Jure Leskovec
Jayavardhan Reddy Peddamail, Ziyu Yao, Zhen Wang and Huan Sun
Kilol Gupta, Mukund Yelahanka Raghuprasad and Pankhuri Kumar
Devendra Singh Sachan, Manzil Zaheer and Ruslan Salakhutdinov
Tengke Xiong and Putra Manggala
Chairs
Organizing Committee
Save the Date
KDD 2018 - London, United Kingdom. 19 - 23 August 2018
The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.