(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) 

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]

(Spotlight) Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue (Byeongchang Kim, Jaewoo Ahn and Gunhee Kim) #김건희 교수팀

A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning (Soochan Lee, Junsoo Ha, Dongsu Zhang and Gunhee Kim) #김건희 교수팀

From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech (Hyeong-Seok Choi, Changdae Park, and Kyogu Lee) #이교구 교수팀

Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction (Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee) #이상구 교수팀

(Oral) Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data : Thirty-Fourth AAAI Conf. on Artificial Intelligence (Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang) #장병탁 교수팀

Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction (Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak) #곽노준 교수팀

URNet : User-Resizable Residual Networks with Conditional Gating Module (Sang-ho Lee, Simyung Chang, Nojun Kwak) #곽노준 교수팀

Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface (Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung) #성원용 교수팀

Spiking‐YOLO: Spiking Neural Network for Energy-­‐Efficient Object Detection (Seijoon Kim, Seongsik Park , Byunggook Na, Sungroh Yoon) #윤성로 교수팀

Channel Attention Is All You Need for Video Frame Interpolation (Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee) #이경무 교수팀

REST: performance improvement of a black box model via RL based spatial transformation (Jaemyung Kim, Chanwoo Park, Hyungjin Kim, and Jungwoo Lee) #이정우 교수팀

Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding (Hyeongu Yun, Yongkeun Hwang and Kyomin jung) #정교민 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

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One‐Shot Channel Pruning (Ilchae Jung, Kihyun You, Hyeonwoo Noh , Minsu Cho, Bohyung Han) #한보형 교수팀

Towards Oracle Knowledge Distillation with Neural Architecture Search (Minsoo Kang, Jonghwan Mun, Bohyung Han) #한보형 교수팀

Reinforcing an Image Caption Generator using Off-­line Human Feedback (Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut) #한보형 교수팀

Context-Aware Zero-Shot Recognition (Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang) #한보형 교수팀

On casting importance weighted autoencoder to an EM algorithm to learn deep generative models (Dongha Kim, Jaesung Hwang, Yongdai Kim) #김용대 교수팀

Lipschitz Continuous Autoencoders in Application to Anomaly Detection (Young-geun Kim, Yongchan Kwon, Hyunwoong Chang, Myunghee Cho Paik) #조명희 교수팀

Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation (Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Hyung Yong Kim, Nam Soo Kim) #김남수 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

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

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

Improving Explainability of Integrated Gradients with Guided Non-Linearity (Hyuk Jin Kwon, Hyung Il Koo, Nam Ik Cho) #조남익 교수팀

Single Image Super-Resolution with Dynamic Residual Connection (Karam Park, Jae Woong Soh, Nam Ik Cho) #조남익 교수팀

Deep Universal Blind Image Denoising (Jae Woong Soh, Nam Ik Cho) #조남익 교수팀

Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS (Joon Young Ahn, Nam Ik Cho) #조남익 교수팀

User-Independent Gaze Estimation by Extracting Pupil Parameter and Its Mapping to the Gaze Angle (Sang Yoon Han, Nam Ik Cho) #조남익 교수팀

Belief Propagation Network for Hard Inductive Semi-supervised Learning (Jaemin Yoo, Hyunsik Jeon, and U Kang) #강유 교수팀

Ornstein Auto-Encoders (Youngwon Choi, Joong-Ho Won) #원중호 교수팀