Taesup Kim - RankMe

81 papers A* 13A 3C 1Misc 1Journal 51Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks. AAAI Minsoo Jo, Dongyoon Yang, Taesup Kim
2026	J	`jnl`	Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs. CoRR Yujin Jo, Sangyoon Bae, Taesup Kim
2026	J	`jnl`	Efficient Epistemic Uncertainty Estimation for Large Language Models via Knowledge Distillation. CoRR SeongHyeon Park, Je Won Yeom, Jaewon Sok, Jeongjae Park, Heejun Kim, Taesup Kim
2026	J	`jnl`	EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs. CoRR Je Won Yeom, Jaewon Sok, SeongHyeon Park, Jeongjae Park, Taesup Kim
2026	J	`jnl`	Garbage Attention in Large Language Models: BOS Sink Heads and Sink-aware Pruning. CoRR Jaewon Sok, Je Won Yeom, SeongHyeon Park, Jeongjae Park, Taesup Kim
2026	J	`jnl`	Learning to Act Robustly with View-Invariant Latent Actions. CoRR Youngjoon Jeong, Junha Chun, Taesup Kim
2026	J	`jnl`	Robust Domain Generalization under Divergent Marginal and Conditional Distributions. CoRR Je Won Yeom, Kyubyung Chae, Hyunggyu Lim, Yoonna Oh, Dongyoon Yang, Taesup Kim
2026	J	`jnl`	Stable On-Policy Distillation through Adaptive Target Reformulation. CoRR Ijun Jang, Je Won Yeom, Juan Yeo, Hyunggu Lim, Taesup Kim
2026	—	`conf`	Supporting or Hindering? Understanding the Divergent Effects of LLM Assistance on Critical Thinking in Academic Reading. CHI Extended Abstracts Seunghyun Bae, Hyungwoo Song, Hyeon Jeon, Taesup Kim, Bongwon Suh
2026	J	`jnl`	Two Birds, One Projection: Harmonizing Safety and Utility in LVLMs via Inference-time Feature Projection. CoRR Yewon Han, Yumin Seol, Eun Gyung Kong, Minsoo Jo, Taesup Kim
2026	J	`jnl`	What If TSF: A Benchmark for Reframing Forecasting as Scenario-Guided Multimodal Forecasting. CoRR Jinkwan Jang, Hyunbin Jin, Hyungjin Park, Kyubyung Chae, Taesup Kim
2025	—	`conf`	"Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding. ACL (Findings) Hyunbin Jin, Je Won Yeom, Seunghyun Bae, Taesup Kim
2025	J	`jnl`	"Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding. CoRR Hyunbin Jin, Je Won Yeom, Seunghyun Bae, Taesup Kim
2025	J	`jnl`	ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction. CoRR Juan Yeo, Soonwoo Cha, Jiwoo Song, Hyunbin Jin, Taesup Kim
2025	J	`jnl`	Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks. CoRR Minsoo Jo, Dongyoon Yang, Taesup Kim
2025	—	`conf`	Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs. EMNLP (Findings) Kyubyung Chae, Gihoon Kim, Gyuseong Lee, Taesup Kim, Jaejin Lee, Heejin Kim
2025	J	`jnl`	Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs. CoRR Kyubyung Chae, Gihoon Kim, Gyuseong Lee, Taesup Kim, Jaejin Lee, Heejin Kim
2025	J	`jnl`	Energy-based Preference Optimization for Test-time Adaptation. CoRR Yewon Han, Seoyun Yang, Taesup Kim
2025	J	`jnl`	From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment. CoRR Kyubyung Chae, Hyunbin Jin, Taesup Kim
2025	J	`jnl`	Generalized and Personalized Federated Learning with Foundation Models via Orthogonal Transformations. CoRR Eun Gyung Kong, Je Won Yeom, Yonghoon Jeon, Taesup Kim
2025	J	`jnl`	KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs. CoRR Donghyeon Ko, Yeguk Jin, Kyubyung Chae, Byungwook Lee, Chansong Jo, Sookyo In, Jaehong Lee, Taesup Kim, Donghyun Kwak
2025	J	`jnl`	Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models. CoRR Yujin Jo, Taesup Kim
2025	J	`jnl`	Object-Centric World Model for Language-Guided Manipulation. CoRR Youngjoon Jeong, Junha Chun, Soonwoo Cha, Taesup Kim
2025	J	`jnl`	Parameter-Efficient Fine-Tuning with Column Space Projection. CoRR Junseo Hwang, Wonguk Cho, Taesup Kim
2025	J	`jnl`	Patch-Level Kernel Alignment for Dense Self-Supervised Learning. CoRR Juan Yeo, Ijun Jang, Taesup Kim
2025	J	`jnl`	Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift. CoRR Gihoon Kim, Hyungjin Park, Taesup Kim
2025	A	`conf`	Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling. WACV Donggeun Kim, Yujin Jo, Myungjoo Lee, Taesup Kim
2025	J	`jnl`	Semantic Anchoring for Robust Personalization in Text-to-Image Diffusion Models. CoRR Seoyun Yang, Gihoon Kim, Taesup Kim
2025	J	`jnl`	Sparse Imagination for Efficient Visual World Model Planning. CoRR Junha Chun, Youngjoon Jeong, Taesup Kim
2025	J	`jnl`	Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness. CoRR Jinkwan Jang, Hyungjin Park, Jinmyeong Choi, Taesup Kim
2024	A*	`conf`	Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. NeurIPS Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli
2024	J	`jnl`	Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. CoRR Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli
2024	—	`conf`	Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models. ECCV (86) Donggeun Kim, Taesup Kim
2024	J	`jnl`	Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models. CoRR Donggeun Kim, Taesup Kim
2024	—	`conf`	Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information. NAACL-HLT (Findings) Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim
2024	J	`jnl`	Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information. CoRR Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim
2024	A*	`conf`	Model-based Preference Optimization in Abstractive Summarization without Human Feedback. EMNLP Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim
2024	J	`jnl`	Model-based Preference Optimization in Abstractive Summarization without Human Feedback. CoRR Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim
2024	J	`jnl`	Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization. CoRR Jinha Park, Wonguk Cho, Taesup Kim
2024	J	`jnl`	Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling. CoRR Donggeun Kim, Yujin Jo, Myungjoo Lee, Taesup Kim
2024	J	`jnl`	When Vision Models Meet Parameter Efficient Look-Aside Adapters Without Large-Scale Audio Pretraining. CoRR Juan Yeo, Jinkwan Jang, Kyubyung Chae, Seongkyu Mun, Taesup Kim
2024	J	`jnl`	X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenarios. CoRR Namju Kwak, Taesup Kim
2023	A*	`conf`	Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning. ICCV Wonguk Cho, Jinha Park, Taesup Kim
2023	J	`jnl`	Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning. CoRR Wonguk Cho, Jinha Park, Taesup Kim
2023	J	`jnl`	Flexible Model Aggregation for Quantile Regression. J. Mach. Learn. Res. Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
2023	A	`conf`	Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. CIKM Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim
2023	J	`jnl`	Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. CoRR Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim
2023	A*	`conf`	Meta-Learning with a Geometry-Adaptive Preconditioner. CVPR Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee
2023	J	`jnl`	Meta-Learning with a Geometry-Adaptive Preconditioner. CoRR Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee
2023	—	`conf`	Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges. CoLLAs Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
2022	A*	`conf`	Adaptive Interest for Emphatic Reinforcement Learning. NeurIPS Martin Klissarov, Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi, Taesup Kim, Alexander J. Smola
2022	—	`conf`	FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages. AACL/IJCNLP (2) Jaeseong Lee, Seung-won Hwang, Taesup Kim
2022	A*	`conf`	Faster Deep Reinforcement Learning with Slower Online Network. NeurIPS Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J. Smola
2022	J	`jnl`	Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline. CoRR Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
2021	J	`jnl`	Deep Quantile Aggregation. CoRR Taesup Kim, Rasool Fakoor, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
2021	A*	`conf`	Visual Concept Reasoning Networks. AAAI Taesup Kim, Sungwoong Kim, Yoshua Bengio
2020	J	`jnl`	Visual Concept Reasoning Networks. CoRR Taesup Kim, Sungwoong Kim, Yoshua Bengio
2019	A*	`conf`	Edge-Labeling Graph Neural Network for Few-Shot Learning. CVPR Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
2019	J	`jnl`	Edge-labeling Graph Neural Network for Few-shot Learning. CoRR Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
2019	A*	`conf`	Fast AutoAugment. NeurIPS Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
2019	J	`jnl`	Fast AutoAugment. CoRR Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
2019	—	`conf`	Scalable Neural Architecture Search for 3D Medical Image Segmentation. MICCAI (3) Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
2019	J	`jnl`	Scalable Neural Architecture Search for 3D Medical Image Segmentation. CoRR Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
2019	A*	`conf`	Variational Temporal Abstraction. NeurIPS Taesup Kim, Sungjin Ahn, Yoshua Bengio
2019	J	`jnl`	Variational Temporal Abstraction. CoRR Taesup Kim, Sungjin Ahn, Yoshua Bengio
2018	J	`jnl`	A Deep Reinforcement Learning Chatbot (Short Version). CoRR Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio
2018	A*	`conf`	Bayesian Model-Agnostic Meta-Learning. NeurIPS Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
2018	J	`jnl`	Bayesian Model-Agnostic Meta-Learning. CoRR Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
2018	Misc	`conf`	Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models. ICASSP Inchul Song, Junyoung Chung, Taesup Kim, Yoshua Bengio
2018	—	`conf`	Noise-adaptive Deep Neural Network for single-channel speech enhancement. MLSP Hanwook Chung, Taesup Kim, Eric Plourde, Benoît Champagne
2018	—	`conf`	PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. ICLR (Poster) Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
2017	J	`jnl`	A Deep Reinforcement Learning Chatbot. CoRR Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brébisson, Jose Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio
2017	A	`conf`	Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition. INTERSPEECH Taesup Kim, Inchul Song, Yoshua Bengio
2017	J	`jnl`	Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition. CoRR Taesup Kim, Inchul Song, Yoshua Bengio
2017	J	`jnl`	PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. CoRR Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
2016	J	`jnl`	Deep Directed Generative Models with Energy-Based Probability Estimation. CoRR Taesup Kim, Yoshua Bengio
2016	—	`conf`	MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track. TAC Rodrigo Nogueira, Taesup Kim, Abdel-rahman Mohamed, Ahmed Hassan Awadallah, Pushmeet Kohli, Ahmed Mohamed
2012	C	`conf`	Reusing Simulation Models for Weapons Effectiveness Analysis. SIMULTECH Kangsun Lee, Taesup Kim
2011	A*	`conf`	Variable grouping for energy minimization. CVPR Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo
2010	—	`conf`	Route reasoning-based mobility modeling and simulation for street fight using DEVS. SummerSim Kyu Cheol Cho, Sung-Ho Jang, Chang Hyeon Noh, Tae-Young Kim, Jong Sik Lee, Jae Min Lee, Taesup Kim, Kangsun Lee
2009	J	`jnl`	A fingerprint-based user authentication protocol considering both the mobility and security in the telematics environment. Comput. Stand. Interfaces Hakjae Kim, Ryong Oh, Sungju Lee, Taesup Kim, Sangjoon Lee, Yongwha Chung, Choong-Ho Cho