Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance (Huiwen Xu, U Kang) #강유 교수팀 

FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis (Seunghyeon Seo, Yeonjin Chang, Nojun Kwak) #곽노준 교수팀 

EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization (Minjung Kim, Junseo Koo, Gunhee Kim) #김건희 교수팀 

Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation (Heeseung Yun, Joonil Na, Gunhee Kim) #김건희 교수팀 

Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction (Hyeongjin Nam, Daniel Sungho Jung, Yeonguk Oh, Kyoung Mu Lee) #이경무 교수팀 

Content-Aware Local GAN for Photo-Realistic Super-Resolution (JoonKyu Park, Sanghyun Son, Kyoung Mu Lee) #이경무 교수팀 

Human Part-wise 3D Motion Context Learning for Sign Language Recognition (Taeryung Lee, Yeonguk Oh, Kyoung Mu Lee) #이경무 교수팀 

ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images (Dongwoo Lee, Jeongtaek Oh, Jaesung Rim, Sunghyun Cho, Kyoung Mu Lee) #이경무 교수팀 

Neural Collage Transfer: Artistic Reconstruction via Material Manipulation (Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang) #장병탁 교수팀 

Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models (Byungjun Kim, Patrick Kwon, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, Hanbyul Joo) #주한별 교수팀 

Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments (Jiye Lee, Hanbyul Joo) #주한별 교수팀 

NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects (Taeksoo Kim, Shunsuke Saito, Hanbyul Joo) #주한별 교수팀 

CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images (Sookwan Han, Hanbyul Joo) #주한별 교수팀 

(poster)End-to-End Multi-Object Detection with a Regularized Mixture Model (Jaeyoung Yoo · Hojun Lee · Seunghyeon Seo · Inseop Chung · NOJUN KWAK) #곽노준 교수팀 

(poster) Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations (Jisun Park, Ernest Ryu) #류경석 교수팀 

(poster) End-to-End Multi-Object Detection with a Regularized Mixture Model (Jaeyoung Yoo · Hojun Lee · Seunghyeon Seo · Inseop Chung · NOJUN KWAK) #곽노준 교수팀 

(poster) Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations (Jisun Park, Ernest Ryu) #류경석 교수팀 

(poster) Rotation and Translation Invariant Representation Learning with Implicit Neural Representations (Sehyun Kwon, Joo Young Choi, Ernest Ryu) #류경석 교수팀 

(poster) Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels (Min-Kook Suh, Seung-Woo Seo) #서승우 교수팀 

(poster) Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments (Sang-Hyun Lee, Seung-Woo Seo) #서승우 교수팀 

(poster) Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming (Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song) #송현오 교수팀 

(poster) Improving Visual Prompt Tuning for Self-supervised Vision Transformers (Seungryong Yoo, Eunji Kim, Dahuin Jung, JUNGBEOM LEE, Sungroh Yoon) #윤성로 교수팀 

(poster) Probabilistic Concept Bottleneck Models (Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon) #윤성로 교수팀 

(poster) On the Impact of Knowledge Distillation for Model Interpretability (Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon) #윤성로 교수팀 

(poster) Implicit Jacobian regularization weighted with impurity of probability output ( Sungyoon Lee · Jinseong Park · Jaewook Lee) #이재욱 교수팀

(poster) Differentially Private Sharpness-Aware Training (Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee) #이재욱 교수팀 

(poster) BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models (Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun) #전병곤 교수팀

Combinatorial Neural Bandits (Taehyun Hwang, Kyuwook Chai, Min-hwan Oh) #오민환 교수팀 

Model-based Offline Reinforcement Learning with Count-based Conservatism (Byeongchan Kim, Min-hwan Oh) #오민환 교수팀

Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model (Young-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-hwan Oh) #오민환 교수, 조명희 교수팀

Robust Multi-bit Natural Language Watermarking through Invariant Features (KiYoon Yoo, Wonhyuk Ahn, Jiho Jang and Nojun Kwak) #곽노준 교수팀 

MPCHAT: Towards Multimodal Persona-Grounded Conversation (Jaewoo Ahn, Yeda Song, Sangdoo Yun and Gunhee Kim) #김건희 교수팀 

Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language Models (Soochan Lee and Gunhee Kim) #김건희 교수팀 

Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning (Nayeon Kim, Yinhua Piao and Sun Kim) #김선 교수팀 

Query-Efficient Black-Box Red Teaming via Bayesian Optimization (Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee and Hyun Oh Song ) #송현오 교수팀 

Large-scale Lifelong Learning of In-context Instructions and How to Tackle It (Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu and Sungroh Yoon) #윤성로 교수팀 

Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency (Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon and Sungroh Yoon) #윤성로 교수팀 

CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels (Hyunsoo Cho, Youna Kim and Sang-goo Lee) #이상구 교수팀 

BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking (Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han and Kyomin Jung) #정교민 교수팀 

Critic-Guided Decoding for Controlled Text Generation (Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee and Kyomin Jung) #정교민 교수팀

Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation (Yongil Kim, Yerin Hwang, Joongbo Shin, Hyunkyung Bae and Kyomin Jung) #정교민 교수팀 

On Complementarity Objectives for Hybrid Retrieval (Dohyeon Lee, Seung-won Hwang, Kyungjae Lee, Seungtaek Choi and Sunghyun Park) #황승원 교수팀 

When to Read Documents or QA History: On Unified and Selective Open-domain QA (Kyungjae Lee, Sang-eun Han, Seung-won Hwang and Moontae Lee) #황승원 교수팀 

Retrieval-augmented Video Encoding for Instructional Captioning (Yeonjoon Jung, Minsoo Kim, Seungtaek Choi, Jihyuk Kim, Minji Seo and Seung-won Hwang) #황승원 교수팀 

Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning (Hyeonmin Ha, SOYOUNG JUNG, Jinsol Park, Minjoon Seo, Seung-won Hwang and Byung-Gon Chun) #전병곤 교수팀

Recursion of Thought: Divide and Conquer Reasoning with Language Models (Soochan Lee, Gunhee Kim) #김건희 교수팀 

HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Network (Jaiyoung Park, Donghwan Kim, Jung Ho Ahn) #안정호 교수팀 

SDAC: Efficient Safe Reinforcement Learning with Low-Biased Distributional Actor-Critic (Dohyeong Kim, Kyungjae Lee, Songhwai Oh) #오성회 교수팀 

Wasserstein Fair Autoencoders (Sungdong Lee, Hyunjong Lee, Joong-Ho Won) #원중호 교수팀 

AdaStride: Using Adaptive Strides in Sequential Data for Effective Downsampling (Yoonhyung Lee, Kyomin Jung) #정교민 교수팀 

Revisiting Group Robustness: Class-specific Scaling is All You Need (Seonguk Seo, Bohyung Han) #한보형 교수팀 

Communication-Efficient Federated Learning with Accelerated Client Gradient (Geeho Kim, Jinkyu Kim, Bohyung Han) #한보형 교수팀 

(poster) DepthFL : Depthwise Federated Learning for Heterogeneous Clients (Minjae Kim, Sangyoon Yu, Suhyun Kim, Soo-Mook Moon) #문수묵 교수팀 

(poster)Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization (Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon) #문태섭 교수팀 

(poster) Geometrically regularized autoencoders for non-Euclidean data (Cheongjae Jang, Yonghyeon Lee, Yung-Kyun Noh, Frank C. Park) #박종우 교수팀 

(poster) New Insights for the Stability-Plasticity Dilemma in Online Continual Learning (Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon) #윤성로 교수팀 

(poster) BigVGAN: A Universal Neural Vocoder with Large-Scale Training (Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon) #윤성로 교수팀 

(poster) Learning with Auxiliary Activation for Memory-Efficient Training (Sunghyeon Woo, Dongsuk Jeon) #전동석 교수팀 

(poster) Confidence-Based Feature Imputation for Graphs with Partially Known Features (Daeho Um, Jiwoong Park, Seulki Park, Jin young Choi) #최진영 교수팀 

Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application (Jun-Gi Jang, Jeongyoung Lee, Yongchan Park, and U Kang) #강유 교수팀

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 

Overcoming Three Discrepancies for Low-Resource Language Specialization (Jaeseong Lee, Dohyeon Lee, Seung-won Hwang) #황승원 교수팀 

Long-Term 3D Human Motion Generation from Multiple Action Labels (Taeryung Lee, Gyeongsik Moon, Kyoung Mu Lee) #이경무 교수팀 

Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion (Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee) #이원종 교수팀

Model-based Reinforcement Learning with Multinomial Logistic Function Approximation (Taehyun Hwang, Min-hwan Oh) #오민환 교수팀

Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking (Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, and U Kang) #강유 교수팀

Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation (Jongjin Kim, Hyunsik Jeon, Jaeri Lee, and U Kang) #강유 교수팀 

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training (Gi-Cheon Kang, Sungdong Kim*, Jin-Hwa Kim*, Donghyun Kwak*, Byoung-Tak Zhang) #장병탁 교수팀

MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs (Seunghyeon Seo, Donghoon Han, Yeonjin Chang, Nojun Kwak) #곽노준 교수팀 

Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning (Youngjae Yu*, Jiwan Chung*, Heeseung Yun, Jack Hessel (AI2), Jaesung Park (UW), Ximing Lu (UW), Prithviraj Ammanabrolu (AI2), Rowan Zellers (AI2), Ronan Le Bras (AI2), Gunhee Kim and Yejin Choi (UW, AI2)) #김건희 교수팀 

Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning (Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, and Taesup Moon) #문태섭 교수팀 

ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion (Sangmin Hong*, Mohsen Yavartanoo*, Reyhaneh Neshatavar, and Kyoung Mu Lee) #이경무 교수팀 

Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding (Yeonguk Oh*, Joonkyu Park*, Jaeha Kim*, Gyeongsik Moon, and Kyoung Mu Lee) #이경무 교수팀 

On the Stability-Plasticity Dilemma of Class-Incremental Learning (Dongwan Kim and Bohyung Han) #한보형 교수팀 

Multi-Modal Representation Learning with Text-Driven Soft Masks (Jaeyoo Park and Bohyung Han) #한보형 교수팀 

Open-Set Representation Learning through Combinatorial Embedding (Geeho Kim, Junoh Kang, and Bohyung Han) #한보형 교수팀 

Variational Distribution Learning for Unsupervised Text-to-Image Generation (Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, and Bohyung Han) #한보형 교수팀 

Band: Coordinated Multi-DNN Inference on Heterogeneous Processors (Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun) #전병곤 교수팀 

Orca: A Distributed Serving System for Transformer-Based Generative Models (Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun) #전병곤 교수팀 

Hippo: Sharing Computations in Hyper-Parameter Optimization (Ahnjae Shin, Joo Seong Jeong, Do Yoon Kim, Soyoung Jung, Byung-Gon Chun) #전병곤 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 

Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values (Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, and U Kang) #강유 교수팀 

Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling (KiYoon Yoo and Nojun Kwak) #곽노준 교수팀 

ProsocialDialog: A Prosocial Backbone for Conversational Agents (Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi and Maarten Sap) #김건희 교수팀 

Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble (Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee) #이상구 교수팀 

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations (Jun Yeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim) #이상구 교수팀

PLM-based World Models for Text-based Games (Minsoo Kim, Yeonjoon Jung, Dohyeon Lee and Seung-won Hwan) #황승원 교수팀 

Normalizing Mutual Information for Robust Adaptive Training for Translation (Youngwon Lee, Changmin Lee, Hojin Lee and Seung-won Hwang) #황승원 교수팀 

Towards Compositional Generalization in Code Search (Hojae Han, Seung-won Hwang, Shuai Lu, Nan Duan and Seungtaek Cho) #황승원 교수팀 

Pseudo-Relevance for Enhancing Document Representation (Jihyuk Kim, Seung-won Hwang, Seoho Song, Hyeseon Ko and Young-In Song) #황승원 교수팀

BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets (Minju Kim, Chae Hyeong Kim, Yong Ho Song, Seung-won Hwang and Jinyoung Yeo) #황승원 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

Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge (Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, and U Kang) #강유 교수팀