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