Contextual Multi-armed Bandits under Feature Uncertainty. - Se-Young Yun; Jun Hyun Nam; Sangwoo Mo; Jinwoo Shin (CoRR, 2017)

InstaGAN: Instance-aware Image-to-Image Translation. - Sangwoo Mo; Minsu Cho; Jinwoo Shin (ICLR (Poster), 2019)

Deep Neural Network Approach in Electrical Impedance Tomography-based Real-time Soft Tactile Sensor. - Hyunkyu Park 001; Hyosang Lee; Kyungseo Park; Sangwoo Mo; Jung Kim (IROS, 2019)

Mining GOLD Samples for Conditional GANs. - Sangwoo Mo; Chiheon Kim; Sungwoong Kim; Minsu Cho; Jinwoo Shin (NeurIPS, 2019)

Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. - Sejun Park; Jaeho Lee 001; Sangwoo Mo; Jinwoo Shin (ICLR, 2020)

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

Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. - Sangwoo Mo; Minsu Cho; Jinwoo Shin (CoRR, 2020)

A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. - Jaeho Lee 001; Sejun Park; Sangwoo Mo; Sungsoo Ahn; Jinwoo Shin (CoRR, 2020)

MASKER: Masked Keyword Regularization for Reliable Text Classification. - Seung Jun Moon; Sangwoo Mo; Kimin Lee; Jaeho Lee 001; Jinwoo Shin (AAAI, 2021)

Layer-adaptive Sparsity for the Magnitude-based Pruning. - Jaeho Lee 001; Sejun Park; Sangwoo Mo; Sungsoo Ahn; Jinwoo Shin (ICLR, 2021)

Object-aware Contrastive Learning for Debiased Scene Representation. - Sangwoo Mo; Hyunwoo Kang; Kihyuk Sohn; Chun-Liang Li; Jinwoo Shin (NeurIPS, 2021)

Abstract Reasoning via Logic-guided Generation. - Sihyun Yu; Sangwoo Mo; Sungsoo Ahn; Jinwoo Shin (CoRR, 2021)

Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing. - Hyunkyu Park 001; Kyungseo Park; Sangwoo Mo; Jung Kim (IEEE Trans. Robotics, 2021)

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. - Sihyun Yu; Jihoon Tack; Sangwoo Mo; Hyunsu Kim; Junho Kim; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2022)

OAMixer: Object-aware Mixing Layer for Vision Transformers. - Hyunwoo Kang; Sangwoo Mo; Jinwoo Shin (CoRR, 2022)

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 (ICLR, 2023)

Diffusion Probabilistic Models for Structured Node Classification. - Hyosoon Jang; Seonghyun Park 004; Sangwoo Mo; Sungsoo Ahn (NeurIPS, 2023)

S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions. - Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jinwoo Shin (NeurIPS, 2023)

Explaining Visual Biases as Words by Generating Captions. - Younghyun Kim; Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jaeho Lee 001; Jinwoo Shin (CoRR, 2023)

Diffusion Probabilistic Models for Graph-Structured Prediction. - Hyosoon Jang; Sangwoo Mo; Sungsoo Ahn (CoRR, 2023)

S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions. - Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jinwoo Shin (CoRR, 2023)

Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. - Junhyun Nam; Sangwoo Mo; Jaeho Lee 001; Jinwoo Shin (Trans. Mach. Learn. Res., 2023)

Discovering and Mitigating Visual Biases Through Keyword Explanation. - Younghyun Kim; Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jaeho Lee 001; Jinwoo Shin (CVPR, 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 001; Jaehyun Nam; Sangwoo Mo; Jongjin Park; Sang-Woo Lee 001; Minjoon Seo; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2024)

Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. - Woomin Song; Seunghyuk Oh; Sangwoo Mo; Jaehyung Kim 001; Sukmin Yun; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2024)

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

Sparsified State-Space Models are Efficient Highway Networks. - Woomin Song; Jihoon Tack; Sangwoo Mo; Seunghyuk Oh; Jinwoo Shin (Trans. Mach. Learn. Res., 2025)