Enforcing Last-Level Cache Partitioning through Memory Virtual Channels (Jongwook Chung, Yuhwan Ro, Joonsung Kim, Jaehyung Ahn, Jangwoo Kim, John Kim, Jae W.Lee, Jung Ho Ahn) #안정호 교수팀

A 65nm 236.5nJ/Classification Neuromorphic Processor with 7.5% Energy Overhead On-Chip Learning Using Direct Spike-Only Feedback (Jeongwoo Park, Juyun Lee, Dongsuk Jeon) #전동석 교수팀

Knowledge Extraction with No Observable Data (Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang ) #강유 교수팀

Consistency-based Semi-supervised Learning for Object detection (Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak) #곽노준 교수팀

Self-Routing Capsule Networks (Taeyoung Hahn, Myeongjang Pyeon, Gunhee Kim) #김건희 교수팀

Doubly-Robust Lasso Bandit (Gi-Soo Kim, Myunghee Cho Paik) #조명희 교수팀

Stage-based Hyper-parameter Optimization for Deep Learning (Ahnjae Shin, Dong-Jin Shin, Sungwoo Cho, Do Yoon Kim, Eunji Jeong, Gyeong-In Yu, Byung-Gon Chun) #전병곤 교수팀

Combinatorial Inference against Label Noise (Paul Hongsuck Seo, Geeho Kim, Bohyung Han) #한보형 교수팀

Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja (Kang Min Yoo, Taeuk Kim and Sang-goo Lee) #이상구 교수팀

Dual Attention Networks for Visual Reference Resolution in Visual Dialog (Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang) #장병탁 교수팀

Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty (Youngjin Kim, Wontae Nam, Hyunwoo Kim, Ji-Hoon Kim, Gunhee Kim) #김건희 교수팀

Variational Laplace Autoencoders (Yookoon Park, Chris Donjoo Kim, Gunhee Kim) #김건희 교수팀

Learning Discrete and Continuous Factors of Data via Alternating Disentanglement (Yeonwoo Jeong, Hyun Oh Song) #송현오 교수팀

Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization (Seungyong Moon*, Gaon An*, Hyun Oh Song) #송현오 교수팀

EMI: Exploration with Mutual Information (Hyoungseok Kim*, Jaekyeom Kim*, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song) #송현오 교수팀

FloWaveNet: A Generative Flow for Raw Audio (Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon) #윤성로 교수팀

HexaGAN: Generative Adversarial Nets for Real World Classification (Uiwon Hwang, Dahuin Jung, Sungroh Yoon) #윤성로 교수팀

Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension (Daesik Kim, Seonhoon Kim and Nojun Kwak) #곽노준 교수팀

A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching (Jihun Choi, Taeuk Kim, Sang-goo Lee) #이상구 교수팀

CoDraw: Collaborative drawing as a testbed for grounded goal-driven communication (Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh) #장병탁 교수팀

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks (Byeongchang Kim, Hyunwoo Kim , Gunhee Kim) #김건희 교수팀

AudioCaps: Generating Captions for Audios in The Wild (Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim) #김건희 교수팀

Multi-task Self-Supervised Object Detection via Recycling of Bounding Box Annotations (Wonhee Lee, Joonil Na, Gunhee Kim) #김건희 교수팀

End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization (Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song) #송현오 교수팀

Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks (Eunwoo Kim, Chanho Ahn, Philip Torr, Songhwai Oh) #오성회 교수팀

FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference (Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon) #윤성로 교수팀

Stochastic Class-based Hard Example Mining for Deep Metric Learning (Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee) #이경무 교수팀

Natural and realistic single image super-resolution with explicit natural manifold discrimination (Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho) #조남익 교수팀

Transfer Learning via Unsupervised Task Discovery for Visual Question Answering (Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han) #한보형 교수팀

Domain Specific Batch Normalization for Unsupervised Domain Adaptation (Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han) #한보형 교수팀

Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences (Seonguk Seo, Paul Hongsuck Seo, Bohyung Han) Streamlined Dense Video Captioning (Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han) #한보형 교수팀

Streamlined Dense Video Captioning (Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han) #한보형 교수팀

A pseudo-blind convolutional neural network for the reduction of compression artifacts(Yoonsik Kim, Jae Woong Soh, Jaewoo Park, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho) #조남익 교수팀

Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (Soochan Lee, Junsoo Ha, Gunhee Kim) #김건희 교수팀

Discovery of natural language concepts in individual units (Seil Na, Yo joong Choe, Dong-Hyun Lee, Gunhee Kim) #김건희 교수팀

Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information (Seonhoon Kim, Inho Kang and Nojun Kwak) #곽노준 교수팀

Data Augmentation for Spoken Language Understanding via Joint Variational Generation (Kang Min Yoo, Youhyun Shin, and Sang-goo Lee) #이상구 교수팀

Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations (Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee) #이상구 교수팀

Utilizing Class Information for Deep Network Representation Shaping (Daeyoung Choi and Wonjong Rhee) #이원종 교수팀

Subtask Gated Networks for Non-Intrusive Load Monitoring(Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee) #이원종 교수팀

Logistic Regression on Homomorphic Encrypted Data at Scale (Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park) #천정희 교수팀

Associative Variational Auto-encoder with Distributed Latent Spaces and Associators (Dae Ung Jo, ByeongJu Lee, Jongwon Choi, Haanju Yoo, Jin Young Choi) #최진영 교수팀

Data interpolations in deep generative models under non-simply-connected manifold topology (Jiseob Kim, Byoung-Tak Zhang) #장병탁 교수팀

Constructing hierarchical Q&A datasets for video story understanding (Yu-Jung Heo, Kyoung-Woon On, Seongho Choi, Jaeseo Lim, Jinah Kim, Jeh-Kwang Ryu, Byung-Chull Bae, Byoung-Tak Zhang) #장병탁 교수팀

Towards Governing Agent’s Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning (John Yang, Gyujeong Lee, Simyung Chang, Nojun Kwak) #곽노준 교수팀

Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric (Yongchan Kwon, Wonyoung Kim, Masashi Sugiyama, Myunghee Cho Paik) #조명희 교수팀

Learning Body Shape Variation in Physics-based Characters (Jungdam won, Jehee Lee) #이제희 교수팀

SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators (Sehee Min, Jungdam Won, Seunghwan Lee, Jungnam Park, Jehee Lee) #이제희 교수팀

Learning predict-and-simulate policies from unorganized human motion data (Soohwan Park, Hoseok Ryu, Seyoung Lee, Sunmin Lee, Jehee Lee) #이제희 교수팀