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

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

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

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

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

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

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

(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) 

Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness (Hyunwoo Kim, Byeongchang Kim and Gunhee Kim) #김건희 교수팀

Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model (Bugeun Kim, Kyung Seo Ki, Donggeon Lee and Gahgene Gweon) #권가진 교수팀

Interpretation of NLP models through input marginalization (Siwon Kim, Jihun Yi, Eunji Kim and Sungroh Yoon) #윤성로 교수팀

Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation (Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee) #이상구 교수팀

(Oral) Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning (Jaekyeom Kim, Hyoungseok Harry Kim and Gunhee Kim) #김건희 교수팀

(Spotlight) Character Grounding and Re-Identification in Story of Videos and Text Descriptions (Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung and Gunhee Kim) #김건희 교수팀

(Spotlight) PROFIT: A Novel Training Method for sub-4-bit MobileNet Models (Eunhyeok Park, Sungjoo Yoo) #유승주 교수팀

SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation (John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak) #곽노준 교수팀

Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations (Sungheon Park, Minsik Lee, Nojun Kwak) #곽노준 교수팀

Imbalanced Continual Learning with Partitioning Reservoir Sampling (Chris Dongjoo Kim, Jinseo Jeong and Gunhee Kim) #김건희 교수팀

Rethinking Class Activation Mapping for Weakly Supervised Object Localization (Junhyug Noh, Wonho Bae and Gunhee Kim) #김건희 교수팀

iCaps: An Interpretable Classifier via Disentangled Capsule Networks (Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon) #윤성로 교수팀

InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image (Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee) #이경무 교수팀

DeepHandMesh: Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling from a Single RGB Image (Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee) #이경무 교수팀

I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image (Gyeongsik Moon, Kyoung Mu Lee) #이경무 교수팀

Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from 2D Human Pose (Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee) #이경무 교수팀

Learning to Optimize Domain Specific Normalization for Domain Generalization (Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jong-Woo Han, Bohyung Han) #한보형 교수팀

Task-Aware Quantization Network for JPEG Image Compression (Jinyoung Choi, Bohyung Han) #한보형 교수팀

Traffic Accident Analysis by Cause and Effect Events Localization (Tackgeun You, Bohyung Han) #한보형 교수팀

URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark (Seonguk Seo, Joon-Young Lee, and Bohyung Han) #한보형 교수팀

Learning Visual Context by Comparison (Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo)

Feature-map-level Online Adversarial Knowledge Distillation (Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak) #곽노준 교수팀

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup (Jang-Hyun Kim, Wonho Choo, Hyun Oh Song) #송현오 교수팀

Principled learning method for Wasserstein distributionally robust optimization with local perturbations (Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik) #조명희 교수팀

[이 게시물은 최고관리자님에 의해 2021-04-02 20:45:06 논문에서 이동 됨]

MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation (S. Cho, E. Park, S. Yoo) #유승주 교수팀

(Oral) Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization (Saehyung Lee, Hyungyu Lee, Sungroh Yoon) #윤성로 교수팀

Learning to Forget for Meta-Learning (Sungyong Baik, Seokil Hong, Kyoung Mu Lee) #이경무 교수팀

Hypergraph Attention Networks for Multimodal Learning (Eun-Sol Kim, Woo Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang) #장병탁 교수팀

Generalized Product Quantization Network for Semi-Supervised Image Retrieval (Young Kyun Jang, Nam Ik Cho) #조남익 교수팀

Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho) #조남익 교수팀

Meta-Transfer Learning for Zero-Shot Super-Resolution (Jae Woong Soh, Sunwoo Cho, Nam Ik Cho) #조남익 교수팀

Separating Particulate Matter From a Single Microscopic Image (Tushar Sandhan, Jin Young Choi) #최진영 교수팀

StackNet: Stacking Parameters for Continual learning (Jangho Kim, Jeesoo Kim, Nojun Kwak) #곽노준 교수팀

LSQ+: Improving low-bit quantization through learnable offsets and better initialization (Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak) #곽노준 교수팀

iCaps: An Interpretable Classifier via Disentangled Capsule Networks (Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon) #윤성로 교수팀

Dual Path Denoising Network for Real Photographic Noise (Yeong Il Jang, Yoonsik Kim, Nam Ik Cho) #조남익 교수팀