Publications 1 페이지 | 서울대학교AI연구원(AIIS)

RESEARCH

Publications

Total 149건 1 페이지
ICLR 2022 (표현 학습 국제학회)

Lipschitz-constrained Unsupervised Skill Discovery (Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee and Gunhee Kim) #김건희 교수팀

Neural Variational Dropout Processes (Insu Jeon, Youngjin Park and Gunhee Kim) #김건희 교수팀

Regularized Autoencoders for Isometric Representation Learning (Yonghyeon Lee, Sangwoong Yoon, Minjun Son, Frank C. Park) #박종우 교수팀 

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior (Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu) #윤성로 교수팀 

Stein Latent Optimization for Generative Adversarial Networks (Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon) #윤성로 교수팀 

Toward Efficient Low-Precision Training: Data Format Optimization and Hysteresis Quantization (Sunwoo Lee, Jeongwoo Park, Dongsuk Jeon) #전동석 교수팀 

SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search (Hyeonmin Ha, Ji-Hoon Kim, Semin Park, Byung-Gon Chun) #전병곤 교수팀 

AAAI 2022 (국제인공지능학회)

(Poster) Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification (Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim) #김선 교수팀 

Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks (Seungyong Moon, Gaon An, Hyun Oh Song) #송현오 교수팀 

Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations (Seunggyu Chang, Jungchan Cho, Songhwai Oh) #오송회 교수팀 

Towards a Rigorous Evaluation of Time-series Anomaly Detection (Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon) #윤성로 교수팀

VECA: A New Benchmark and Toolkit for General Cognitive Development (Kwanyoung Park, Hyunseok Oh, Youngki Lee) #이영기 교수팀 

Information-theoretic Bias Reduction via Causal View of Spurious Correlation (Seonguk Seo, Joon-Young Lee, Bohyung Han) #한보형 교수팀 

C2L: Causally Contrastive Learning for Robust Text Classification (Seungtaek Choi, Myeongho Jeong, Hojae Han, Seung-won Hwang) #황승원 교수팀 

Dual Task Framework for Improving Persona-grounded Dialogue Dataset (Minju Kim, Beong-woo Kwak, Youngwook Kim, Hong-in Lee, Seung-won Hwang, Jinyoung Yeo) #황승원 교수팀 

TrustAL: Trustworthy Active Learning using Knowledge Distillation (Beong-woo Kwak, Youngwook Kim, Yu Jin Kim, Seung-won Hwang, Jinyoung Yeo) #황승원 교수팀

NeurIPS 2021 (신경정보처리시스템학회)

Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods (Seohong Park, Jaekyeom Kim and Gunhee Kim) #김건희 교수팀

A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast (J. Lee, C. Park, E. K. Ryu) #류경석 교수팀

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning (Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, and Taesup Moon) #문태섭 교수팀

Neighborhood Reconstructing Autoencoders (Yonghyeon Lee, Hyeokjun Kwon, Frank Park) #박종우 교수팀

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble (Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song) #송현오 교수팀

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon) #윤성로 교수팀

Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations (Hyeong-Seok Choi, Juheon Lee, Wansoo Kim, Jie Hwan Lee, Hoon Heo, Kyogu Lee) #이교구 교수팀

Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples (Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee) #이재욱 교수팀

Parameter-free HE-friendly Logistic Regression (Junyoung Byun, Woojin Lee,  Jaewook Lee) #이재욱 교수팀

Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning (Kibeom Kim, Min Whoo Lee, Yoonsung Kim, JeHwan Ryu, Minsu Lee, Byoung-Tak Zhang) #장병탁 교수팀

Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection (S. Woo, J. Park, J. Hong, and D. Jeon) #전동석 교수팀

Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Parograms (Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun) #전병곤 교수팀 

Doubly Robust Thompson Sampling with Linear Payoffs (Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik) #조명희 교수팀

Learning Student-Friendly Teacher Networks for Knowledge Distillation (Dae Young Park, Moon-Hyun Cha, Changwook Jeong, Daesin Kim, and Bohyung Han) #한보형 교수팀

Learning Debiased and Disentangled Representations for Semantic Segmentation (Sanghyeok Chu, Dongwan Kim, and Bohyung Han) #한보형 교수팀

SWAD: Domain Generalization by Seeking Flat Minima (Junbum Cha (Kakao Brain) · Sanghyuk Chun (NAVER AI Lab) · Kyungjae Lee (서울대학교) · Han-Cheol Cho (Intel Korea) · Seunghyun Park (Clova AI Research, Naver Corp.) · Yunsung Lee (Korea University) · Sungrae Park (UPSTAGE))

Neural Bootstrapper (Minsuk Shin (University of South Carolina) · Hyungjoo Cho (서울대학교) · Hyun-seok Min (Tomocube) · Sungbin Lim (UNIST))

MERLOT: Multimodal Neural Script Knowledge Models (Rowan Zellers (University of Washington) · Ximing Lu (Department of Computer Science, University of Washington) · Jack Hessel (Cornell University) · Youngjae Yu (서울대학교) · Jae Sung Park (University of Washington) · Jize Cao (Department of Computer Science, University of Washington) · Ali Farhadi (University of Washington, Allen Institute for Artificial Intelligence) · Yejin Choi (University of Washington)) 

[이 게시물은 최고관리자님에 의해 2021-11-01 15:38:49 논문에서 복사 됨]
EMNLP 2021 (자연어처리에서의 경험적 방법론 학회)

(Oral) AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate (Jongyoon Song, Sungwon Kim, Sungroh Yoon) #윤성로 교수팀

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes (Hyunwoo Kim, Byeongchang Kim, and Gunhee Kim) #김건희 교수팀

Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer (Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, and Jin-Hwa Kim) #장병탁 교수팀

QACE: Asking Questions to Evaluate an Image Caption (Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, and Kyomin Jung) #정교민 교수팀

Structure-Augmented Keyphrase Generation (Seung-won Hwang) #황승원 교수

CIKM 2021 (ACM 지식 정보 관리 국제학회)

SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-shot Cross-lingual Transfer (Dohyeon Lee, Jaeseong Lee, Gyewon Lee, Seung-Won Hwang, Byung-Gon Chun) #전병곤 연구팀 

Counterfactual Generative Smoothing for Imbalanced Natural Language Classification (Hojae Han, Seungtaek Choi, Myeongho Jeong, Jin-woo Park, and Seung-won Hwang) #황승원 교수팀 

VLDB 2022 (거대 데이터 베이스 컨퍼런스)

WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model (Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi) #전병곤 교수팀 

CAL 2021

Row-Streaming Dataflow Using a Chaining Buffer and Systolic Array+ Structure (Hweesoo Kim, Sunjung Lee, Jaewan Choi, Jung Ho Ahn) #안정호 교수팀 

ISSCC 2021 (IEEE 국제 고체회로 학회)

A 40nm 4.81 TFLOPS/W 8b Floating-Point Training Processor for Non-Sparse Neural Networks Using Shared Exponent Bias and 24-Way Fused Multiply-Add Tree (Jeongwoo Park, Sunwoo Lee, Dongsuk Jeon) #전동석 교수팀 

ICCV 2021

(Oral) Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation (H. Jung, E. Park, S. Yoo) # 유승주 교수팀

(Oral) ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon) # 윤성로 교수팀

Normalization Matters in Weakly Supervised Object Localization (Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak) # 곽노준 교수팀

Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image (Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak) # 곽노준 교수팀

LFI-CAM: Learning Feature Importance for Better Visual Explanation (Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak) # 곽노준 교수팀

Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning (Sangho Lee, Jiwan Chung, Youngjae Yu (Allen Institute for AI), Gunhee Kim, Thomas Breuel (NVIDIA), Gal Chechik (NVIDIA), Yale Song (Microsoft)) # 김건희 교수팀

Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos (Heeseung Yun, Youngjae Yu (Allen Institute for AI), Wonsuk Yang (Oxford university), Kangil Lee (Hyundai Motors), Gunhee Kim) # 김건희 교수팀

Viewpoint-Agnostic Change Captioning with Cycle Consistency (Hoeseong Kim, Jongseok Kim (Violet), Hyungseok Lee (Hyundai Motors), Hyunsung Park (Hyundai Motors), Gunhee Kim) # 김건희 교수팀

Noisy Labeled Continual Learning via Self-Purified Replay (Chris Dongjoo Kim, Jinseo Jeong, Sangwoo Moon, Gunhee Kim) # 김건희 교수팀

SS-IL: Separated Softmax for Incremental Learning (Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, and Taesup Moon) # 문태섭 교수팀

Visual Graph Memory with Unsupervised Representation for Visual Navigation (Obin Kwon, Nuri Kim, Yunho Choi, Hwiyeon Yoo, Jeongho Park, and Songhwai Oh) # 오성회 교수팀

AdvRush: Searching for Adversarially Robust Neural Architectures (Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon) # 윤성로 교수팀

Toward Spatially Unbiased Generative Models (Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon) # 윤성로 교수팀

Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning (Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, and Kyoung Mu Lee) # 이경무 교수팀

Motion-Aware Dynamic Architecture for Efficient Frame Interpolation (Myungsub Choi, Suyoung Lee, Heewon Kim, and Kyoung Mu Lee) # 이경무 교수팀

Searching for Controllable Image Restoration Networks (Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, and Kyoung Mu Lee) # 이경무 교수팀

C2N: Practical Generative Noise Modeling for Real-World Denoising (Geonwoon Jang, Wooseok Lee, Sanghyun Son, and Kyoungmu Lee) # 이경무 교수팀

3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces (Mohsen Yavartanoo, Jaeyoung Chung, Reyhaneh Neshatavar, and Kyoung Mu Lee) # 이경무 교수팀

Influence-balanced Loss for Imbalanced Visual Classification (Seuki Park, Daewoong Jo, Jin Young Choi) # 최진영 교수팀

Class-Incremental Continual Learning for Action Recognition in Videos (Jaeyoo Park, Minsoo Kang, and Bohyung Han) # 한보형 교수팀

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform (Myungseo Song, Jinyoung Choi, and Bohyung Han) # 한보형 교수팀

ICRA 2021 (IEEE 로봇과 자동화 국제대회)

(Best Paper Award on Unmanned Aerial Vehicles) Aerial Manipulator Pushing a Movable Structure using a DOB-based Robust Controller (Dongjae Lee, Hoseong Seo, Inkyu Jang, Seung Jae Lee, and H. Jin Kim) #김현진 교수팀

Online Trajectory Planning for Multiple Quadrotors in Dynamic Environments using Relative Safe Flight Corridor (Jungwon Park, and H. Jin Kim) #김현진 교수팀

Model-based domain randomization of dynamics system with deep Bayesian locally linear embedding (J. Hyeon Park, Sungyong Park, and H. Jin Kim) #김현진 교수팀

Learning a geometric representation for data-efficient depth estimation via gradient field and contrastive loss (Dongseok Shim, and H. Jin Kim) #김현진 교수팀

Automated extrinsic calibration for 3D LiDARs with range offset correction using an arbitrary planar board (Junha Kim, Changhyeon Kim, Youngsoo Han, and H. Jin Kim) #김현진 교수팀

IROS 2021 (IEEE/RSJ 지능로봇과 시스템 국제대회)

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (Jaeseok Choi, Yeji Song, Nojun Kwak) #곽노준 교수팀 

Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments (Inkyu Jang, Dongjae Lee, Seungjae Lee, and H. Jin Kim) #김현진 교수팀

Real-Time Motion Planning of a Hydraulic Excavator using Trajectory Optimization and Model Predictive Control (Dongjae Lee, Inkyu Jang, Jeonghyun Byun, Hoseong Seo, H. Jin Kim) #김현진 교수팀

Target-visible Polynomial Trajectory Generation within an MAV Team (Yunwoo Lee, Jungwon Park, Boseong Jeon, H. Jin Kim) #김현진 교수팀

Topology-Guided Path Planning for Reliable Visual Navigation of MAVs (Dabin Kim, Gyeong Chan Kim, Youngseok Jang, H. Jin Kim) #김현진 교수팀

Stability and Robustness Analysis of Plug-Pulling using an Aerial Manipulator (Jeonghyun Byun, Dongjae Lee, Hoseong Seo, Inkyu Jang, Jeongjun Choi, H. Jin Kim) #김현진 교수팀

ICML 2021 (국제머신러닝학회)

(Long Talk) Unsupervised Representation Learning via Neural Activation Coding (Yookoon Park, Sangho Lee, Gunhee Kim and David Blei) #김건희 교수팀

(Long Talk) Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm (TaeHo Yoon, Ernest Ryu) #류경석 교수팀

Unsupervised Skill Discovery with Bottleneck Option Learning (Jaekyeom Kim, Seohong Park and Gunhee Kim) #김건희 교수팀

WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points (Albert No, TaeHo Yoon, Kwon Sehyun, Ernest Ryu) #류경석 교수팀

Autoencoding Under Normalization Constraints (Sangwoong Yoon, Yung-Kyun Noh, Frank Chongwoo Park) #박종우 교수팀

Sparsity-Agnostic Lasso Bandit (Min-hwan Oh, Garud Iyengar, Assaf Zeevi) #오민환 교수

Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication (Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Taehyun Cho, and Jungwoo Lee) #이정우 교수팀

Learning from Nested Data with Ornstein Auto-Encoders (Youngwon Choi, Sungdong Lee, Joong-Ho Won) #원중호 교수팀

Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning (Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J. Lim, and Byoung-Tak Zhang) #장병탁 교수팀

NAACL 2021 (북미 컴퓨터언어학회)

How Robust are Fact Checking Systems on Colloquial Claims? (Byeongchang Kim, Hyunwoo Kim, Seokhee Hong and Gunhee Kim) #김건희 교수팀

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights (Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin and Kyomin Jung) #정교민 교수팀

KDD 2021 (데이터 마이닝 학회)

Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts (Jaemin Yoo, Yejun Soun, Yong-chan Park, and U Kang) #강유 교수팀

Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries (Jun-Gi Jang and U Kang) #강유 교수팀

Fast and Accurate Partial Fourier Transform for Time Series Data (Yong-chan Park, Jun-Gi Jang, and U Kang) #강유 교수팀

Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion (Jaehun Jung, Jinhong Jung, and U Kang) #강유 교수팀

CVPR 2021 (컴퓨터 비전과 패턴인식 학회)

(Oral) FBI: Fast Blind Image Denoiser for Poisson-Gaussian Noise (Jaeseok Byun, Sungmin Cha, Taesup Moon) #문태섭 교수팀

(Oral) XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations (Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon) #윤성로 교수팀

Transitional Adaptation of Pretrained Models for Visual Storytelling (Youngjae Yu, Jiwan Chung, Jongseok Kim, Heeseung Yun, Gunhee Kim) #김건희 교수팀

StyleMix: Separating Content and Style for Enhanced Data Augmentation (Minui Hong, Jinwoo Choi, Gunhee Kim) #김건희 교수팀

Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation (Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak) #곽노준 교수팀

Interpolation-based semi-supervised learning for object detection (Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak) #곽노준 교수팀

Fair Feature Distillation for Visual Recognition (Donggyu Lee, Sangwon Jung, Taeeon Park, Taesup Moon) #문태섭 교수팀

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing (H. Kim, Y. Choi, J. Kim , S. Yoo, Y. Uh) #유승주 교수팀

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (Jungbeom Lee, Eunji Kim, Sungroh Yoon) #윤성로 교수팀

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon) #윤성로 교수팀

SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation (Sanghyun Son, Kyoung Mu Lee) #이경무 교수팀

Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video (Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee) #이경무 교수팀

Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders (Jiwoong Park, Junho Cho, Hyung Jin Chang, Jin Young Choi) #최진영 교수팀

Exemplar-Based Open-Set Panoptic Segmentation Network (Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han) #한보형 교수팀

CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback (Seungmin Lee, Dongwan Kim, Bohyung Han) #한보형 교수팀

RaSNet: Learning Tiny Models by Raster-Scanning Images (Jaehyoung Yoo, Dongwook Lee, Changyong Son, Sangil Jung, ByungIn Yoo, Changkyu Choi, Jae-Joon Han, Bohyung Han) #한보형 교수팀

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