Accurate Graph-Based PU Learning without Class Prior (Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, and U Kang) #강유 교수팀

EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers #권가진 교수팀 

Backdoor Attacks in Federated Learning by Poisoned Word Embeddings (KiYoon Yoo, Nojun Kwak) #곽노준 교수팀

Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation (KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak) #곽노준 교수팀

Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering (Yu-Jung Heo, Eun-Sol Kim, Woo Suk Choi, and Byoung-Tak Zhang) #장병탁 교수팀 

Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings (Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, and Sungroh Yoon) #윤성로 교수팀

Debiasing Event Understanding for Visual Commonsense Tasks (Minji Seo, YeonJoon Jung, Seungtaek Choi, seung-won hwang, and Bei Liu) #황승원 교수팀 

ReACC: A Retrieval-Augmented Code Completion Framework (Shuai Lu, Nan Duan, Hojae Han, Daya Guo, seung-won hwang, and Alexey Svyatkovskiy) #황승원 교수팀 

Plug-and-Play Adaptation for Continuously-updated QA (Kyungjae Lee, Wookje Han, seung-won hwang, Hwaran Lee, Joonsuk Park, and Sang-Woo Lee) #황승원 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

From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent (Ganghun Lee, Minji Lee, Minsu Lee, and Byoung-Tak Zhang) #장병탁교수팀

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

(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

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 교수팀

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

Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values (Dawon Ahn, Seyun Kim, and U Kang) #강유 교수팀

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

Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching (Yeonhong Park, Sunhong Min, and Jae W. Lee) #이재욱 교수팀

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

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

(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

(Oral) 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

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

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

Self-Supervised Product Quantization for Deep Unsupervised Image Retrieval (Young Kyun Jang, Nam Ik Cho) # 조남익 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

Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs (Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks (Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling (Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀