System-wide Time vs. Density Tradeoff in Real-Time Multicore Fluid Scheduling (Kang-Wook Kim, Youngeun Cho, Jeongyoon Eo, Chang-Gun Lee, Junghee Han) #이창건 교수팀

BreathRNNet: Breathing Based Authentication on Resource-Constrained IoT Devices using RNNs (Jagmohan Chauhan, Suranga Seneviratne, Yining Hu, Archan Misra, Aruna Seneviratne, Youngki Lee) #이영기 교수팀

Genetic-Gated Networks for Deep Reinforcement Learning (Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak) #곽노준 교수팀

Paraphrasing Complex Network: Network Compression via Factor Transfer (Jangho Kim, Seounguk Park, Nojun Kwak) #곽노준 교수팀

Maximum Causal Tsallis Entropy Imitation Learning (Kyungjae Lee, Sungjoon Choi, Songhwai Oh) #오성회 교수팀

Answerer in questioner’s mind: Information theoretic approach to goal-oriented visual dialog (Sang-Woo Lee, Yu-jung Heo, Byoung-Tak Zhang) #장병탁 교수팀

Bilinear attention networks (Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang) #장병탁 교수팀

Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog (Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang) #장병탁 교수팀

Learning to Specialize with Knowledge Distillation for Visual Question Answering (Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han) #한보형 교수팀

Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach (Gyeong-In Yu, Saeed Amizadeh, Byung-Gon Chun, Markus Weimer, Matteo Interlandi) #전병곤 교수

Detection and Recognition of Text Embedded in Online Images via Neural Context Models (Chulmoo Kang, Gunhee Kim and Suk I. Yoo) #김건희 교수팀

Transfer Learning for Deep Learning on Graph-Structured Data (Jaekoo Lee, Hyunjae Kim, Jongsun Lee and Sungroh Yoon) #윤성로 교수팀

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs (Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon) #윤성로 교수팀

Overcoming Catastrophic Forgetting by Incremental Moment Matching (Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang) #장병탁 교수팀

Visual Reference Resolution using Attention Memory for Visual Dialog (Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han, Leonid Sigal) #한보형 교수팀

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization (Hyeonwoo Noh, Tackgeun You, Jonghwan Mun, Bohyung Han) #한보형 교수팀

SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization (Juyong Kim, Yookoon Park, Gunhee Kim , Sung Ju Hwang) #김건희 교수

Neural Universal Discrete Denoiser (Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon) #윤성로 교수팀

Multimodal Residual Learning for Visual QA (Jin-Hwa Kim, Sang-Woo Lee, Donghyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang) #장병탁 교수팀

Learning Transferrable Representations for Unsupervised Domain Adaptation (Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese) #송현오 교수

Expressing an Image Stream with a Sequence of Natural Sentences (Cesc C. Park, Gunhee Kim) #김건희 교수팀

Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation (Seunghoon Hong, Hyeonwoo Noh, Bohyung Han) #한보형 교수팀

Generative Local Metric Learning for Nearest Neighbor Classification (Yung-kyun Noh, Byoung-tak Zhang, Daniel Lee) #장병탁 교수팀

Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression (Ling Huang, Jinzhu Jia, Bin Yu, Byung-gon Chun, Petros Maniatis, Mayur Naik) #전병곤 교수