Unifying Vision-Language Representation Space with Single-tower Transformer (Jiho Jang, Chaerin Kong, DongHyeon Jeon, Seonhoon Kim, Nojun Kwak) #곽노준 교수팀 

Towards More Robust Interpretation via Local Gradient Alignment (Sunghwan Joo, SeokHyeon Jeong, Juyeon Heo, Adrian Weller, and Taesup Moon) #문태섭 교수팀 

Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners (Hyunsoo Cho, Hyuhng Joon Kim, Jun Yeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim) #이상구 교수팀 

Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud (Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, and Hongil Yoon) #이재욱 교수팀 

Robust Imitation via Mirror Descent Inverse Reinforcement Learning (D.-S.Han, H.-S.Kim, H.-D.Lee, J.-H.Ryu, B.-T.Zhang) #장병탁 교수팀

SelecMix: Debiased Learning by Contradicting-pair Sampling (Inwoo Hwang · Sangjun Lee · Yunhyeok Kwak · Seong Joon Oh · Damien Teney · Jin-Hwa Kim · Byoung-Tak Zhang) #장병탁 교수팀 

S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning (Daesol Cho · Dongseok Shim · H. Jin Kim) #김현진 교수팀 

DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning (Seungjae Lee · Jigang Kim · Inkyu Jang · H. Jin Kim) #김현진 교수팀 

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators (Jinyoung Choi · Bohyung Han) #한보형 교수팀 

Locally Hierarchical Auto-Regressive Modeling for Image Generation (Tackgeun You · Saehoon Kim · Chiheon Kim · Doyup Lee · Bohyung Han) #한보형 교수팀 

Information-Theoretic Generative Model Compression with Variational Energy-based Model (Minsoo Kang · Hyewon Yoo · Eunhee Kang · Sehwan Ki · Hyong Euk Lee · Bohyung Han) #한보형 교수팀 

Rethinking Value Function Learning for Generalization in Reinforcement Learning (Seungyong Moon · JunYeong Lee · Hyun Oh Song) #송현오 교수팀 

Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks (Hongjoon Ahn · Yongyi Yang · Quan Gan · David P Wipf · Taesup Moon) #문태섭 교수팀 

Constrained GPI for Zero-Shot Transfer in Reinforcement Learning (Jaekyeom Kim · Seohong Park · Gunhee Kim) #김건희 교수팀

AutoSNN: Towards Energy-Efficient Spiking Neural Networks (Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon) #윤성로 교수팀

Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance (Heeseung Kim, Sungwon Kim, Sungroh Yoon) #윤성로 교수팀

Confidence Score for Source-Free Unsupervised Domain Adaptation (Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon) #윤성로 교수팀

Dataset Condensation with Contrastive Signals (Saehyung Lee, SANGHYUK CHUN, Sangwon Jung, Sangdoo Yun, Sungroh Yoon) #윤성로 교수팀

Neural Tangent Kernel Analysis of Deep Narrow Neural Networks (Jongmin Lee, Joo Young Choi, Ernest Ryu, Albert No) #류경석 교수팀

(Long) Exact Optimal Accelerated Complexity for Fixed-Point Iterations (Jisun Park, Ernest Ryu) #류경석 교수팀

(Long) Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems (Jaewook Suh, Gyumin Roh, Ernest Ryu) #류경석 교수팀

Multi-Level Branched Regularization for Federated Learning (Jinkyu Kim, Geeho Kim, Bohyung Han) #한보형 교수팀

Information-Intensive Dataset Condensation (Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song) #송현오 교수팀

Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization (Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song) #송현오 교수팀

Variational On-the-Fly Personalization (Kim Jangho, Jun-Tae Lee, Simyung Chang, NOJUN KWAK) #곽노준 교수팀

Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert (Yoonhyung Lee, Sungdong Lee, Joong-Ho (Johann) Won) #원중호 교수팀

A Statistical Manifold Framework for Point Cloud Data (Yonghyeon Lee, Seungyeon Kim, Jinwon Choi, Frank Chongwoo Park) #박종우 교수팀

Learning fair representation with a parametric integral probability metric (Dongha Kim, Kunwoong Kim, InSung Kong, Ilsang Ohn, Yongdai Kim) #김용대 교수팀

Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis (Jungbin Kim, Insoon Yang) #양인순 교수팀

Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions (Eunsang Lee · Joon-Woo Lee · Junghyun Lee · Young-Sik KIM (Chosun University) · Yongjune Kim (DGIST) · Jong-Seon No · Woosuk Choi (Samsung)) #노종선 교수팀

Counterfactual Transportability: A Formal Approach (Juan Correa (Universidad Autónoma de Manizales) · Sanghack Lee · Elias Bareinboim (Columbia)) #이상학 교수팀

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 

(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

(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

(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

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

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

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

(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