AAAI 2020

  • Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data : Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (Accepted (Oral)) (Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang)
  • Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction : Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (accepted, arXiv)) (Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak)
  • URNet : User-Resizable Residual Networks with Conditional Gating Module : Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (accepted, arXiv) (Sang-ho Lee, Simyung Chang, Nojun Kwak)

ISMB 2019/Bioinformatics

  • PRISM: Methylation Pattern-based, Reference-free Inference of Subclonal Makeup (Dohoon Lee, SangSeon Lee, Sun Kim)

NeurIPS 2019

  • Combinatorial Inference against Label Noise (Paul Hongsuck Seo, Geeho Kim, Bohyung Han)
  • Knowledge Extraction with No Observable Data (Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang )
  • Self-Routing Capsule Networks (Taeyoung Hahn, Myeongjang Pyeon, Gunhee Kim)
  • Consistency-based Semi-supervised Learning for Object detection (Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak)

ICCV 2019

  • Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation (Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon)
  • Tag2Pix: Line Art Colorization using Text Tag with SECat and Changing Loss (Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo)
  • Better to Follow, Follow to be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection (Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim)
  • Deep Elastic Networks with Model Selection for Multi-Task Learning (
    Chanho Ahn, Eunwoo Kim, and Songhwai Oh)
  • Unsupervised 3D Reconstruction Networks (Geonho Cha, Minsik Lee, Songhwai Oh)
  • Image Translation to Mixed-Domain using Sym-Parameterized Generative Network (Simyung Chang, SeongUk Park, John Yang and Nojun Kwak)
  • A Comprehensive Overhaul of Feature Distillation (Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi)

IJCAI 2019

  • Belief Propagation Network for Hard Inductive Semi-supervised Learning (Jaemin Yoo, Hyunsik Jeon, and U Kang)
  • Ornstein Auto-Encoders (Youngwon Choi, Joong-Ho Won)

ACL 2019

  • Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension (Daesik Kim, Seonhoon Kim and Nojun Kwak)
  • A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching (Jihun Choi, Taeuk Kim, Sang-goo Lee)

ICML 2019

  • Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty (Youngjin Kim, Wontae Nam, Hyunwoo Kim, Ji-Hoon Kim, Gunhee Kim)
  • Variational Laplace Autoencoders (Yookoon Park, Chris Donjoo Kim, Gunhee Kim)
  • FloWaveNet: A Generative Flow for Raw Audio (Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon)
  • HexaGAN: Generative Adversarial Nets for Real World Classification (Uiwon Hwang, Dahuin Jung, Sungroh Yoon)
  • Learning Discrete and Continuous Factors of Data via Alternating Disentanglement (Yeonwoo Jeong, Hyun Oh Song)
  • Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization (Seungyong Moon*, Gaon An*, Hyun Oh Song)
  • EMI: Exploration with Mutual Information (Hyoungseok Kim*, Jaekyeom Kim*, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song)

ATC 2019

  • Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies (Youngseok Yang, Jeongyoon Eo, Geon-Woo Kim, Joo Yeon Kim, Sanha Lee, Jangho Seo, Won Wook Song, Byung-Gon Chun

ISCA 2019

  • MnnFast: A Fast and Scalable System Architecture for Memory-Augmented Neural Networks (Hanhwi Jang, Joonsung Kim, Jae-Eon Jo, Jaewon Lee, and Jangwoo Kim)
  • Cryogenic Computer Architecture Modeling with Memory-Side Case Studies (Gyuhyeon Lee, Dongmoon Min, Ilkwon Byun, and Jangwoo Kim)


  • FA3C: FPGA-Accelerated Deep Reinforcement Learning (Hyungmin Cho, Pyeongseok Oh, Jiyoung Park, Wookeun Jung,  Jaejin Lee)

CVPR 2019

  • FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference (Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon)
  • Multi-task Self-Supervised Object Detection via Recycling of Bounding Box Annotations (Wonhee Lee, Joonil Na, Gunhee Kim)
  • End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization (Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song)
  • Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks (Eunwoo Kim, Chanho Ahn, Philip Torr, Songhwai Oh)
  • Transfer Learning via Unsupervised Task Discovery for Visual Question Answering (Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han)
  • Domain Specific Batch Normalization for Unsupervised Domain Adaptation (Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han)
  • 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)
  • Stochastic Class-based Hard Example Mining for Deep Metric Learning (Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee)

NAACL 2019

  • Abstractive Summarization of Reddit Posts with Multi-level Memory Networks (Byeongchang Kim, Hyunwoo Kim , Gunhee Kim)
  • AudioCaps: Generating Captions for Audios in The Wild (Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim)


ICLR 2019

AAAI 2019


EuroSys 2019


NSDI 2019


SYSML 2019


NIPS 2018


ICML 2018


CVPR 2018


ECCV 2018


ICLR 2018


NAACL 2018


AAAI 2018


Systems for ML Workshop at NIPS 2018

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

OSDI 2018


EuroSys 2018


IEEE Data Engineering Bulletin 2018


ISCA 2018


DAC 2018


ACM Transactions on Programming Languages and Systems


IROS 2018

  • Vision-based Target Tracking for a Skid-steer Vehicle using Guided Policy Search with Field-of-view Constraint (Taewan Kim, Chungkeun Lee, Hoseong Seo, Seungwon Choi, Wonchul Kim, H. Jin Kim)
  • Learning-based Path Tracking Control of a Flapping-wing Micro Air Vehicle (Jonggu Lee, Seungwan Ryu, Taewan Kim, Wonchul Kim, H. Jin Kim)

SIGGRAPH Asia 2018 / ACM Transactions on Graphics


Bayesian Analysis


PACT 2018


ICCAD 2018




IJCAI 2018


ISMB2018 / Bioinformatics


IEEE Transactions on Computers (TC)


Neural Computation, 30(7):1930-1960


IEEE Computer


WWW 2018


DATE 2018




WSDM 2018