출판 Causal Discovery in the Presence of Missing Data Cheng Zhang, Ruibo Tu, Paul Ackermann, Karthika Mohan, Hedvig Kjellström, Kun Zhang International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2019 편집자: Kamalika Chaudhuri, Masashi Sugiyama 프로젝트
출판 NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep Parag Agrawal, Anshuman Suri International Workshop on Semantic Evaluation (SemEval), NAACL-HLT 2019 | April 2019
출판 Learning deep representations by mutual information estimation and maximization Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio ICLR 2019 | April 2019
출판 Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum ICLR 2019 | April 2019 프로젝트
출판 CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition Yuying Zhu, Guoxin Wang, Börje F. Karlsson https://arxiv.org/abs/1904.02141 | April 2019 글쓴이 Microsoft Accepted at NAACL 2019. 프로젝트 프로젝트
출판 Learning Attentional Recurrent Neural Network for Visual Tracking Qiurui Wang, Chun Yuan, Jingdong Wang, Wenjun Zeng IEEE Transactions on Multimedia | April 2019, 제 21 권(4): pp. 930-942
출판 Active Learning for Cost-Sensitive Classification Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, John Langford, Hal Daumé III Journal of Machine Learning Research | April 2019
출판 Logarithmic Time One-Against-Some Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro ICML 2017 | April 2019
출판 Predicting History Joseph Risi, Amit Sharma, Rohan Shah, Matthew Connelly, Duncan J. Watts Nature Human Behavior | April 2019
출판 An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon ICLR 2019 | April 2019