Sangwoo Mo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Case Based Reasoner

Scene Representation

Text Classification

Top Venues

IEEE Trans. Robotics

Publications

Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. CoRR (2024)
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. ICLR (2024)
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. CoRR (2024)
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. ICLR (2024)
Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
Learning Hierarchical Image Segmentation For Recognition and By Recognition. ICLR (2024)
Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. CoRR (2023)
Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions. CoRR (2023)
Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. ICLR (2023)
Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin
Explaining Visual Biases as Words by Generating Captions. CoRR (2023)
Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions. NeurIPS (2023)
Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn
Diffusion Probabilistic Models for Structured Node Classification. NeurIPS (2023)
Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. Trans. Mach. Learn. Res. 2023 (2023)
Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. CoRR (2022)
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. CoRR (2022)
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR (2022)
Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin
OAMixer: Object-aware Mixing Layer for Vision Transformers. CoRR (2022)
Hyunkyu Park, Kyungseo Park, Sangwoo Mo, Jung Kim
Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing. IEEE Trans. Robotics 37 (5) (2021)
Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
MASKER: Masked Keyword Regularization for Reliable Text Classification. AAAI (2021)
Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
Object-aware Contrastive Learning for Debiased Scene Representation. NeurIPS (2021)
Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR (2021)
Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
Object-aware Contrastive Learning for Debiased Scene Representation. CoRR (2021)
Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
Abstract Reasoning via Logic-guided Generation. CoRR (2021)
Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS (2020)
Sangwoo Mo, Minsu Cho, Jinwoo Shin
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. CoRR (2020)
Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR (2020)
Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
MASKER: Masked Keyword Regularization for Reliable Text Classification. CoRR (2020)
Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR (2020)
Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning. CoRR (2020)
Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. ICLR (2020)
Hyunkyu Park, Hyosang Lee, Kyungseo Park, Sangwoo Mo, Jung Kim
Deep Neural Network Approach in Electrical Impedance Tomography-based Real-time Soft Tactile Sensor. IROS (2019)
Sangwoo Mo, Minsu Cho, Jinwoo Shin
InstaGAN: Instance-aware Image-to-Image Translation. ICLR (Poster) (2019)
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
Mining GOLD Samples for Conditional GANs. CoRR (2019)
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
Mining GOLD Samples for Conditional GANs. NeurIPS (2019)
Sangwoo Mo, Minsu Cho, Jinwoo Shin
InstaGAN: Instance-aware Image-to-Image Translation. CoRR (2018)
Se-Young Yun, Jun Hyun Nam, Sangwoo Mo, Jinwoo Shin
Contextual Multi-armed Bandits under Feature Uncertainty. CoRR (2017)