Sangwoo Mo - RankMe

47 papers A* 15A 1Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Forest and Trees in Images and Long Captions for Visually Grounded Understanding. CoRR Byeongju Woo, Zilin Wang, Byeonghyun Pak, Sangwoo Mo, Stella X. Yu
2026	J	`jnl`	Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis. CoRR Junhyeok Choi, Sangwoo Mo, Minwoo Chae
2026	J	`jnl`	SHED Light on Segmentation for Dense Prediction. CoRR Seung Hyun Lee, Sangwoo Mo, Stella X. Yu
2025	J	`jnl`	Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting. CoRR Sangoh Lee, Sangwoo Mo, Wook-Shin Han
2025	J	`jnl`	Do Reasoning Vision-Language Models Inversely Scale in Test-Time Compute? A Distractor-centric Empirical Analysis. CoRR Jiyun Bae, Hyunjong Ok, Sangwoo Mo, Jaeho Lee
2025	A*	`conf`	Open Ad-hoc Categorization with Contextualized Feature Learning. CVPR Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren
2025	J	`jnl`	Open Ad-hoc Categorization with Contextualized Feature Learning. CoRR Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren
2025	J	`jnl`	Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation. CoRR Subin Kim, Sangwoo Mo, Mamshad Nayeem Rizve, Yiran Xu, Difan Liu, Jinwoo Shin, Tobias Hinz
2025	J	`jnl`	Sparsified State-Space Models are Efficient Highway Networks. CoRR Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin
2025	J	`jnl`	Sparsified State-Space Models are Efficient Highway Networks. Trans. Mach. Learn. Res. Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin
2024	A*	`conf`	Discovering and Mitigating Visual Biases Through Keyword Explanation. CVPR Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin
2024	A*	`conf`	Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. ICLR Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
2024	J	`jnl`	Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. CoRR Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
2024	A*	`conf`	Learning Hierarchical Image Segmentation For Recognition and By Recognition. ICLR Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
2024	A*	`conf`	SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. ICLR Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
2024	J	`jnl`	SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. CoRR Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
2023	J	`jnl`	Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. Trans. Mach. Learn. Res. Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
2023	J	`jnl`	Diffusion Probabilistic Models for Graph-Structured Prediction. CoRR Hyosoon Jang, Sangwoo Mo, Sungsoo Ahn
2023	A*	`conf`	Diffusion Probabilistic Models for Structured Node Classification. NeurIPS Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn
2023	J	`jnl`	Explaining Visual Biases as Words by Generating Captions. CoRR Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin
2023	A*	`conf`	RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. ICLR Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
2023	J	`jnl`	RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. CoRR Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
2023	A*	`conf`	S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions. NeurIPS Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
2023	J	`jnl`	S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions. CoRR Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
2022	J	`jnl`	Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. CoRR Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
2022	A*	`conf`	Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
2022	J	`jnl`	Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. CoRR Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
2022	J	`jnl`	OAMixer: Object-aware Mixing Layer for Vision Transformers. CoRR Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin
2021	J	`jnl`	Abstract Reasoning via Logic-guided Generation. CoRR Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2021	J	`jnl`	Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing. IEEE Trans. Robotics Hyunkyu Park, Kyungseo Park, Sangwoo Mo, Jung Kim
2021	A*	`conf`	Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2021	A*	`conf`	MASKER: Masked Keyword Regularization for Reliable Text Classification. AAAI Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
2021	A*	`conf`	Object-aware Contrastive Learning for Debiased Scene Representation. NeurIPS Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
2021	J	`jnl`	Object-aware Contrastive Learning for Debiased Scene Representation. CoRR Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
2020	J	`jnl`	A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2020	A*	`conf`	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
2020	J	`jnl`	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
2020	J	`jnl`	Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. CoRR Sangwoo Mo, Minsu Cho, Jinwoo Shin
2020	A*	`conf`	Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. ICLR Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
2020	J	`jnl`	Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning. CoRR Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
2020	J	`jnl`	MASKER: Masked Keyword Regularization for Reliable Text Classification. CoRR Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
2019	A	`conf`	Deep Neural Network Approach in Electrical Impedance Tomography-based Real-time Soft Tactile Sensor. IROS Hyunkyu Park, Hyosang Lee, Kyungseo Park, Sangwoo Mo, Jung Kim
2019	—	`conf`	InstaGAN: Instance-aware Image-to-Image Translation. ICLR (Poster) Sangwoo Mo, Minsu Cho, Jinwoo Shin
2019	A*	`conf`	Mining GOLD Samples for Conditional GANs. NeurIPS Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
2019	J	`jnl`	Mining GOLD Samples for Conditional GANs. CoRR Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
2018	J	`jnl`	InstaGAN: Instance-aware Image-to-Image Translation. CoRR Sangwoo Mo, Minsu Cho, Jinwoo Shin
2017	J	`jnl`	Contextual Multi-armed Bandits under Feature Uncertainty. CoRR Se-Young Yun, Jun Hyun Nam, Sangwoo Mo, Jinwoo Shin