|
H. Brendan McMahan, Gary Holt, D. Sculley, Michael Young, etc. Google, Inc (2013),
"Ad Click Prediction: a View from the Trenches" |
Hongjun Jeon |
PPT |
|
|
Michael Jahrer, Andreas Töscher, Robert Legenstein (2010),
Combining Predictions for Accurate Recommender Systems |
Hyeonju Lee |
PPT |
|
|
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua (2017),
Neural Collaborative Filtering |
Chanwoo Jeong |
PPT |
|
|
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes (2018),
RMDL: Random Multimodel Deep Learning for Classification |
Jaeyoung Kim |
PPT |
|
|
Adam Santoro, Ryan Faulkner, David Raposo, Jack Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy Lillicrap (2018),
Relational recurrent neural networks |
Jaeyoung Kim |
PPT |
|
|
Arijit Biswas, Mukul Bhutani, Subhajit Sanyal (2017),
MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings |
Chanwoo Jeong |
PPT |
|
|
Oluwaseun Ajao, Deepayan Bhowmik and Shahrzad Zargari (2018),
Fake News Identification on Twitter with Hybrid CNN and RNN Models |
Hyeonju Lee |
PPT |
|
|
Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho*, Wonsang Chang, Junhwan Kim (2017),
"Mining the relationship between production and customer service data for failure analysis of industrial products" |
Hongjun Jeon |
PPT |
|
|
Daeseon Choi, Younho Lee, Seok Hyun Kim, and Pilsung Kang*. (2017),
"Undisclosed private attribute inference from Facebook profile data" |
Hongjun Jeon |
PPT |
|
|
Jongmyung Kim and Pilsung Kang*. (2016),
"Late payment prediction models for fair allocation of customer contact lists to call center agents, Decision Support Systems" |
Hongjun Jeon |
PPT |
|
|
Leslie N. Smith. (2018),
"A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay" |
Hongjun Jeon |
PPT |
|
|
Scott Sereday and Jingsong Cui (2017),
"USING MACHINE LEARNING TO PREDICT FUTURE TV RATINGS" |
Hongjun Jeon |
PPT |
|
|
Richárd Csáky. (2017),
"Deep Learning Based Chatbot Models" |
Hyundoo Jin |
|
|
|
TaeHyup Roh (2007),
"Forecasting the volatility of stock price index" |
Hongjun Jeon |
PPT |
|
|
Joseph Sill, Gabor Takacs, Lester Mackey, David Lin. (2009),
"Feature-Weighted Linear Stacking" |
Hongjun Jeon |
|
|
| 03/20 |
Ariyajunya, B., Tarun, P., Chen, V., Kim, S.B. (2018+),
Modeling the impact of airport deicing/anti-icing activities on the dissolved oxygen levels in the receiving waterways |
Hyundoo Jin |
PPT |
|
| 04/03 |
Seokho Kang and Pilsung Kang*. (2018),
"Locally linear ensemble for regression" |
Hyundoo Jin |
PPT |
|
| 04/18 |
Seokho Kang, Sungzoon Cho, Pilsung Kang* (2015),
"Multi-class classification via heterogeneous ensemble of one-class classifiers" |
Hyundoo Jin |
PPT |
|
| 05/30 |
Chan Woo Lee, Kyu Ye Song, Jihoon Jeong, Woo Yong Choi. (2018),
"Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data" |
Hyundoo Jin |
PPT |
|
| 07/05 |
Jie Hu, Shaobo Li, Jianjun Hu, Yang Guanci (2018),
"A Hierarchical Feature Extraction Model for Multi-Label Mechanical Patent Classification" |
Jinhong Kim |
PPT |
|
| 07/16 |
이정훈, 김민호, 권혁철 (2018),
"워드임베딩을 이용한 문맥의존 철자오류 교정 기법" |
Jinhong Kim |
PPT |
|
| 08/08 |
Sean J. Taylor, Benjamin Letham (2017),
"Forecasting at Scale" |
Hongjun Jeon |
PPT |
|
| 08/09 |
Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Stuart Bowers, Joaquin Quiñonero Candela (2014),
"Practical Lessons from Predicting Clicks on Ads at Facebook" |
Jinhong Kim |
PPT |
|
| 08/22 |
Eric Zelikman, Stanford University (2018),
"Context is Everything: Finding Meaning Statistically in Semantic Spaces" |
Hongjun Jeon |
PPT |
|
| 09/03 |
Jianhua Yin, Daren Chao, Zhongkun Liu, Wei Zhang, Xiaohui Yu, Jianyong Wang (2018),
"Model-based Clustering of Short Text Streams" |
Hongjun Jeon |
PPT |
|
| 09/06 |
Dwaipayan Roy, Kunal Ray, Mandar Mitra (2016),
From a “Scholarly Big Dataset” to a Test Collectionfor Bibliographic Citation Recommendation |
Chanwoo Jeong |
PPT |
vimeo |
| 09/06 |
Yiqiang Zhan (2018),
Document Representation Learning For Patient History Visualization |
Seokkyu Choi |
PPT |
vimeo |
| 09/06 |
Kilol Gupta, Mukund Y. Raghuparasad, Pankhuri Kumar (2018),
A Hybrid Variational Autoencoder for Collaborative Filtering |
Hyoenju Lee |
PPT |
vimeo |
| 09/13 |
Luca Maria Aiello, Martina Deplano, Rossano Schifanella, Giancarlo Ruffo (2014),
People are Strange when you're a Stranger: Impact and Influence of Bots on Social Networks |
Hyuna Shin |
PPT |
vimeo |
| 09/18 |
Jun Feng, Minlie Huang. Raghuparasad, Li Zhao (2018),
Reinforcement Learning for Relation Classification from Noisy Data |
Hongjun Jeon |
PPT |
vimeo |
| 09/18 |
Tengfei Liu, Shuangyuan Yu, Baomin Xu, Hongfeng Yin(2018),
Recurrent networks with attention and convolutional networks for sentence representation and classification |
Hyundoo Jin |
PPT |
vimeo |
| 09/18 |
Xunjie Zhu, Tingfeng Li, Gerard de Melo (2018),
Exploring Semantic Properties of Sentence Embeddings |
Hyeonju Lee |
PPT |
vimeo |
| 09/20 |
Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong (2017),
Shifu : Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data |
Seokkyu Choi |
PPT |
vimeo |
| 09/27 |
Devendra Singh Sachan, Manzil Zaheer, Rusian Salakhutdinov (2018),
Investigating the Working of Text Classifier |
Jaeyoung Kim |
PPT |
vimeo |
| 09/27 |
Devendra Singh Sachan, Manzil Zaheer, Rusian Salakhutdinov (2018),
Investigating the Working of Text Classifier |
Jaeyoung Kim |
PPT |
vimeo |
| 09/27 |
Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Xuesong Xu, Qun Jin (2018),
Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data |
Chanwoo Jeong |
PPT |
vimeo |
| 10/01 |
Zhongying Zhao, Wenqiang Liu, Yuhua Qian, Liqiang Nie, Yilong Yin, Yong Zhang (2018),
Identifying advisor-advisee relationships from co-author networks via a novel deep model |
Seokkyu Choi |
PPT |
vimeo |
| 10/01 |
Hongzi Mao, Ravi Netravali, Mohammad Alizadeh (2017),
Neural Adaptive Video Streaming with Pensieve |
Hongjun Jeon |
PPT |
vimeo |
| 10/01 |
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov (2018),
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function |
Jaeyoung Kim |
PPT |
vimeo |
| 10/01 |
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz(2018),
Learning to Summarize Radiology Findings |
Hyundoo Jin |
PPT |
vimeo |
| 10/08 |
Jing Chu, Kun Qian, Xu Wang, Lina Yao, Fu Xiao, Jianbo Li (2018),
Passenger Demand Prediction with Cellular Footprints |
Hongjun Jeon |
PPT |
vimeo |
| 10/08 |
Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M.J. Tax (2017),
Interacting Attention-gated Recurrent Networks for Recommendation |
Chanwoo Jeong |
PPT |
vimeo |
| 10/11 |
Myeongjun Jang, Pilsung Kang(2018),
Paraphrase Thought : Sentence Embedding Module Imitating Human Language Recognition |
Hyundoo Jin |
PPT |
vimeo |
| 10/11 |
Aaron Abood, Dave Feltenberger (2018),
Automated patent landscaping |
Hyeonju Lee |
PPT |
vimeo |
| 11/15 |
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer(2018),
Deep contextualized word representations |
Hyundoo Jin |
PPT |
vimeo |
| 11/28 |
Jacob Divlin, ming-Wei Chang, Kenton Lee, Kristina Toutanova(2018),
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
Jaeyoung Kim |
PPT |
vimeo |
| 11/28 |
Xilun Chen, Claire Cardie(2018),
Unsupervised Multilingual Word Embeddings](http://aclweb.org/anthology/D18-1024) |
Hyundoo Jin |
PPT |
vimeo |
| 12/04 |
Caglar Aytekin, Xingyang Ni, Francesco Cricri,Emre Aksu(2018),
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations |
Hongjun Jeon |
PPT |
vimeo |
| 12/15 |
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus(2015),
End-To-End Momory Networks |
Seokkyu Choi |
PPT |
vimeo |