Mo, Sangwoo

20 publications

CVPR 2025 Open Ad-Hoc Categorization with Contextualized Feature Learning Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren

TMLR 2025 Sparsified State-Space Models Are Efficient Highway Networks Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin

CVPR 2024 Discovering and Mitigating Visual Biases Through Keyword Explanation Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin

ICLR 2024 Hierarchical Context Merging: Better Long Context Understanding for Pre-Trained LLMs Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin

ICLR 2024 Learning Hierarchical Image Segmentation for Recognition and by Recognition Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu

ICLR 2024 SuRe: Summarizing Retrievals Using Answer Candidates for Open-Domain QA of LLMs Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin

TMLR 2023 Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin

NeurIPS 2023 Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

ICMLW 2023 Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

ICLR 2023 RoPAWS: Robust Semi-Supervised Representation Learning from Uncurated Data Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell

NeurIPS 2023 S-CLIP: Semi-Supervised Vision-Language Learning Using Few Specialist Captions Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin

ICLR 2022 Generating Videos with Dynamics-Aware Implicit Generative Adversarial Networks Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin

ICLRW 2022 ReMixer: Object-Aware Mixing Layer for Vision Transformers and Mixers Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin

ICLR 2021 Layer-Adaptive Sparsity for the Magnitude-Based Pruning Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

AAAI 2021 MASKER: Masked Keyword Regularization for Reliable Text Classification Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin

NeurIPS 2021 Object-Aware Contrastive Learning for Debiased Scene Representation Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin

NeurIPS 2020 CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin

ICLR 2020 Lookahead: A Far-Sighted Alternative of Magnitude-Based Pruning Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin

ICLR 2019 InstaGAN: Instance-Aware Image-to-Image Translation Sangwoo Mo, Minsu Cho, Jinwoo Shin

NeurIPS 2019 Mining GOLD Samples for Conditional GANs Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin