Publications 4 페이지 | 서울대학교AI연구원(AIIS)

RESEARCH

Publications

Total 185건 4 페이지
AAAI 2021 (국제인공지능학회)

Self-supervised pre-training and contrastive representation learning for multiple-choice video QA (Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak) #곽노준 교수팀

Dual Compositional Learning in Interactive Image Retrieval (Jongseok Kim, Youngjae Yu, Hoeseong Kim, Gunhee Kim) #김건희 교수팀

IB-GAN: Disengangled Representation Learning with Information Bottleneck Generative Adversarial Networks (Insu Jeon, Wonkwang Lee, Myeongjang Pyeon and Gunhee Kim) #김건희 교수팀

Understanding Catastrophic Overfitting in Single-Step Adversarial Training (Hoki Kim, Woojin Lee, Jaewook Lee) #이재욱 교수팀

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA (Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee, Byoung-Tak Zhang) #장병탁 교수팀

Kernel-Convoluted Deep Neural Networks with Data Augmentation (Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik) #조명희 교수팀

Neural Sequence-to-grid Module for Learning Symbolic Rules (Segwang Kim, Hyoungwook Nam, Joonyoung Kim, and Kyomin Jung) #정교민 교수팀

Class-Attentive Diffusion Network for Semi-Supervised Classification (Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi) #최진영 교수팀

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks (Youngmin Ro, Jin Young Choi) #최진영 교수팀

Image-to-Image Retrieval by Learning Similarity between Scene Graphs (Sangwoong Yoon, Woo Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim) #박종헌 교수팀

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ICLR 2021 (표현 학습 국제학회)

(Oral) Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity (JangHyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song) #송현오 교수팀

Parameter Efficient Multimodal Transformers for Video Representation Learning (Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel, Jan Kautz, Yale Song) #김건희 교수팀

Self-Supervised Learning of Compressed Video Representations (Youngjae Yu, Sangho Lee, Gunhee Kim, Yale Song) #김건희 교수팀

SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning (Myeongjang Pyeon, Jihwan Moon, Taeyoung Hahn, Gunhee Kim) #김건희 교수팀

Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration (Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim) #김건희 교수팀

GAN2GAN: Generative noise learning for blind image denoising with single noisy images (Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, and Taesup Moon) #문태섭 교수팀

CPR: Classifier-projection regularization for continual learning (Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flavio P. Calmon, and Taesup Moon) #문태섭 교수팀

Removing Undesirable Feature Contributions Using Out-of-Distribution Data (Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon) #윤성로 교수팀

Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (Yoonhyung Lee, Joongbo Shin, Kyomin Jung) #정교민 교수팀

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ICASSP 2021 (음성·신호처리학회)

Prototype-Based Personalized Pruning (Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak) #곽노준 교수팀

Gradual Federated Learning Using Simulated Annealing (Luong Trung Nguyen, Byonghyo Shim) #심병효 교수팀

Real-Time Denoising and Dereverberation With Tiny Recurrent U-Net (Hyeong-Seok Choi, Sungjin Park, Jie Hwan Lee, Hoon Heo, Dongsuk Kyogu Lee) #이교구 교수팀

Room adaptive conditioning method for sound event classification in reverberant environments (Jaejun Lee, Donmoon Lee, Hyeong-Seok Choi, Kyogu Lee) #이교구 교수팀

Reverb Conversion of Mixed Vocal Tracks Using an End-to End Convolutional Deep Neural Network (Junghyun Koo, Seungryeol Paik, Kyogu Lee) #이교구 교수팀

Elf-Attentive VAD: Context-Aware Detection of Voice From Noise (Yong Rae Jo, Young Ki Moon, Won Ik Cho, Geun Sik Jo) 

IJCAI 2021 (인공 지능에 관한 국제공동회의)

Accelerating Neural Architecture Search via Proxy Data (Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon) #윤성로 교수팀

Masked Contrastive Learning for Anomaly Detection (Hyunsoo Cho, Jinseok Seol, Sang-goo Lee) #이상구 교수팀

ISCA 2021 (컴퓨터 아키텍처 국제회의)

CryoGuard: A Near Refresh-Free Robust DRAM Design for Cryogenic Computing (Gyuhyeon Lee, Seongmin Na, Ilkwon Byun, Dongmoon Min, and Jangwoo Kim) #김장우 교수팀

ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks (Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, and Jae W. Lee) #이재욱 교수팀

BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory (Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sung Jun Jung, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

ATC 2021 (USENIX 연례 기술 컨퍼런스)

A Fast and Flexible Hardware-based Virtualization Mechanism for Computational Storage Devices (Dongup Kwon, Dongryeong Kim, Junehyuk Boo, Wonsik Lee, and Jangwoo Kim) #김장우 교수팀

ASAP: Fast Mobile Application Switch via Adaptive Prepaging (Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, and Hongil Yoon) #이재욱 교수팀

Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training (Gyewon Lee, Irene Lee, Hyeonmin Ha, Kyunggeun Lee, Hwarim Hyun, Ahnjae Shin, Byung-Gon Chun) #전병곤 교수팀

ASPLOS 2021 (프로그램 언어와 운영 시스템을 위한 설계 지원)

NeuroEngine: A Hardware-Based Event-Driven Simulation System for Advanced Brain-Inspired Computing (Hunjun Lee, Chanmyeong Kim, Yujin Chung, and Jangwoo Kim) #김장우 교수팀

MERCI: Efficient Embedding Reduction on Commodity Hardware via Sub-Query Memoization (Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, and Tae Jun Ham) #이재욱 교수팀

BCD deduplication: effective memory compression using partial cache-line deduplication (Sungbo Park, Ingab Kang, Yaebin Moon, Jung Ho Ahn, G.Edward Suh) #안정호 교수팀

OSDI 2021 (운영시스템의 설계와 실행 심포지엄)

Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing (Youngseok Yang, Taesoo Kim, Byung-Gon Chun) #전병곤 교수팀

SIGGRAPH 2021 (컴퓨터 그래픽 및 인터랙티브 기술 그룹)

Learning a family of motor skills from a single motion clip Paper Abstract Author Preprint Paper Video (Seyoung Lee, Sunmin Lee, Yongwoo Lee, Jehee Lee) #이제희 교수팀

Learning Time-Critical Responses for Interactive Character Control Paper Abstract (Kyungho Lee, Sehee Min, Sunmin Lee, Jehee Lee) #이제희 교수팀

CAL 2020

TRiM: Tensor Reduction in Memory (Byeongho Kim, Jaehyun Park, Eojin Lee, Minsoo Rhu, Jung Ho Ahn) #안정호 교수팀

TC 2020

MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks (Byeongho Kim, Jongwook Chung, Eojin Lee, Wonkyung Jung, Sunjung Lee, Jaewan Choi, Jaehyun Park, Minbok Wi, Sukhan Lee, Jung Ho Ahn) #안정호 교수팀

ICTC 2020

Low-Rank Matrix Completion Using Graph Neural Network (Luong Trung Nguyen, Byonghyo Shim) #심병효 교수팀

EUSIPCO 2020

Stochasticity and Skip Connection Improve Knowledge Transfer (Luong Trung Nguyen, Kwangjin Lee, Byonghyo Shim) #심병효 교수팀

IEEE ASME Trans Mechatron 2020

Fully actuated autonomous flight of thruster-tilting multirotor (Seung Jae Lee, Dongjae Lee, Junha Kim, Dabin Kim, Inkyu Jang, H Jin Kim) #김현진 교수팀

Regularized Hierarchical Quadratic Program for Real-Time Whole-Body Motion Generation (Seongil Hong, Keunwoo Jang, Sanghyun Kim, Jaeheung Park) #박재흥 교수팀

NeurIPS 2020 (신경정보처리시스템학회)

(Oral) Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search (Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon) #윤성로 교수팀

(Spotlight) Nimble: Lightweight Execution of Deep Neural Networks on a GPU (Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun) #전병곤 교수팀

Position-Based Scaled Gradient for Model Quantization and Sparse Training (Jangho Kim, KiYoon Yoo, Nojun Kwak) #곽노준 교수팀

SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds (Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Joun Yeop Lee, Nam Soo Kim) #김남수 교수팀

Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards (Kyungjae Lee, Hongjun Yang, Sungbin Lim (Korea University), Songhwai Oh) #오성회 교수팀

NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity (Sang-gil Lee, Sungwon Kim, Sungroh Yoon) #윤성로 교수팀

Proximity Operator of the Matrix Perspective Function and its Applications (Joong-Ho Won) #원중호 교수

Adaptive Learning for Fast Adaptation (Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee) #이경무 교수팀

Lipschitz-Certifiable Training with a Tight Outer Bound (Sungyoon Lee, Jaewook Lee, Saerom Park) #이재욱 교수팀

Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud (Seohyun Kim, JaeYoo Park, Bohyung Han) #한보형 교수팀

Self-Supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs (Dasol Hwang, Jinyoung Park, Sunyoung Kwon, KyungMin Kim , Jung-Woo Ha , Hyunwoo Kim) 

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