Efficient learning of sparse, distributed, convolutional feature representations for object recognition. - Kihyuk Sohn; Dae Yon Jung; Honglak Lee; Alfred O. Hero III (ICCV, 2011)

An interpretation of the Cover and Leung capacity region for the MAC with feedback through stochastic control. - Achilleas Anastasopoulos; Kihyuk Sohn (ICC, 2012)

Learning Invariant Representations with Local Transformations. - Kihyuk Sohn; Honglak Lee (ICML, 2012)

Online Incremental Feature Learning with Denoising Autoencoders. - Guanyu Zhou; Kihyuk Sohn; Honglak Lee (AISTATS, 2012)

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling. - Andrew Kae; Kihyuk Sohn; Honglak Lee; Erik G. Learned-Miller (CVPR, 2013)

Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines. - Kihyuk Sohn; Guanyu Zhou; Chansoo Lee; Honglak Lee (ICML (2), 2013)

Learning to Disentangle Factors of Variation with Manifold Interaction. - Scott E. Reed; Kihyuk Sohn; Yuting Zhang 001; Honglak Lee (ICML, 2014)

Improved Multimodal Deep Learning with Variation of Information. - Kihyuk Sohn; Wenling Shang; Honglak Lee (NIPS, 2014)

Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction. - Yuting Zhang 001; Kihyuk Sohn; Ruben Villegas; Gang Pan 001; Honglak Lee (CVPR, 2015)

Learning Structured Output Representation using Deep Conditional Generative Models. - Kihyuk Sohn; Honglak Lee; Xinchen Yan (NIPS, 2015)

Attribute2Image: Conditional Image Generation from Visual Attributes. - Xinchen Yan; Jimei Yang; Kihyuk Sohn; Honglak Lee (ECCV (4), 2016)

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. - Wenling Shang; Kihyuk Sohn; Diogo Almeida; Honglak Lee (ICML, 2016)

Improved Deep Metric Learning with Multi-class N-pair Loss Objective. - Kihyuk Sohn (NIPS, 2016)

Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit. - Wenling Shang; Kihyuk Sohn; Honglak Lee; Anna C. Gilbert (SDM, 2016)

Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. - Wenling Shang; Justin Chiu; Kihyuk Sohn (AAAI, 2017)

Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. - Xi Peng 005; Xiang Yu 002; Kihyuk Sohn; Dimitris N. Metaxas; Manmohan Chandraker (ICCV, 2017)

Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. - Kihyuk Sohn; Sifei Liu; Guangyu Zhong; Xiang Yu 002; Ming-Hsuan Yang 001; Manmohan Chandraker (ICCV, 2017)

Towards Large-Pose Face Frontalization in the Wild. - Xi Yin 001; Xiang Yu 002; Kihyuk Sohn; Xiaoming Liu 002; Manmohan Chandraker (ICCV, 2017)

Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition. - Xi Peng 005; Xiang Yu 002; Kihyuk Sohn; Dimitris N. Metaxas; Manmohan Chandraker (CoRR, 2017)

Channel-Recurrent Variational Autoencoders. - Wenling Shang; Kihyuk Sohn; Zeynep Akata; Yuandong Tian (CoRR, 2017)

Learning to Adapt Structured Output Space for Semantic Segmentation. - Yi-Hsuan Tsai; Wei-Chih Hung; Samuel Schulter; Kihyuk Sohn; Ming-Hsuan Yang 001; Manmohan Chandraker (CVPR, 2018)

Channel-Recurrent Autoencoding for Image Modeling. - Wenling Shang; Kihyuk Sohn; Yuandong Tian (WACV, 2018)

Joint Pixel and Feature-level Domain Adaptation in the Wild. - Luan Tran; Kihyuk Sohn; Xiang Yu 002; Xiaoming Liu 002; Manmohan Chandraker (CoRR, 2018)

Feature Transfer Learning for Deep Face Recognition with Long-Tail Data. - Xi Yin 001; Xiang Yu 002; Kihyuk Sohn; Xiaoming Liu 002; Manmohan Chandraker (CoRR, 2018)

Feature Transfer Learning for Face Recognition With Under-Represented Data. - Xi Yin 001; Xiang Yu 002; Kihyuk Sohn; Xiaoming Liu 002; Manmohan Chandraker (CVPR, 2019)

Active Adversarial Domain Adaptation. - Jong-Chyi Su; Yi-Hsuan Tsai; Kihyuk Sohn; Buyu Liu; Subhransu Maji; Manmohan Chandraker (CVPR Workshops, 2019)

Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. - Luan Tran; Kihyuk Sohn; Xiang Yu 002; Xiaoming Liu 002; Manmohan Chandraker (CVPR Workshops, 2019)

Domain Adaptation for Structured Output via Discriminative Patch Representations. - Yi-Hsuan Tsai; Kihyuk Sohn; Samuel Schulter; Manmohan Chandraker (ICCV, 2019)

Unsupervised Domain Adaptation for Distance Metric Learning. - Kihyuk Sohn; Wenling Shang; Xiang Yu 002; Manmohan Chandraker (ICLR (Poster), 2019)

Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis. - Wenling Shang; Kihyuk Sohn (WACV, 2019)

Adaptation Across Extreme Variations using Unlabeled Domain Bridges. - Shuyang Dai; Kihyuk Sohn; Yi-Hsuan Tsai; Lawrence Carin; Manmohan Chandraker (CoRR, 2019)

ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. - David Berthelot; Nicholas Carlini; Ekin D. Cubuk; Alex Kurakin; Kihyuk Sohn; Han Zhang 010; Colin Raffel (CoRR, 2019)

Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. - Taihong Xiao; Yi-Hsuan Tsai; Kihyuk Sohn; Manmohan Chandraker; Ming-Hsuan Yang 001 (AAAI, 2020)

Adaptation Across Extreme Variations using Unlabeled Bridges. - Shuyang Dai; Kihyuk Sohn; Yi-Hsuan Tsai; Lawrence Carin; Manmohan Chandraker (BMVC, 2020)

Towards Universal Representation Learning for Deep Face Recognition. - Yichun Shi; Xiang Yu 002; Kihyuk Sohn; Manmohan Chandraker; Anil K. Jain 001 (CVPR, 2020)

Improving Face Recognition by Clustering Unlabeled Faces in the Wild. - Aruni RoyChowdhury; Xiang Yu 002; Kihyuk Sohn; Erik G. Learned-Miller; Manmohan Chandraker (ECCV (24), 2020)

ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring. - David Berthelot; Nicholas Carlini; Ekin D. Cubuk; Alex Kurakin; Kihyuk Sohn; Han Zhang 010; Colin Raffel (ICLR, 2020)

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. - Kihyuk Sohn; David Berthelot; Nicholas Carlini; Zizhao Zhang; Han Zhang 010; Colin Raffel; Ekin Dogus Cubuk; Alexey Kurakin; Chun-Liang Li (NeurIPS, 2020)

A Simple Semi-Supervised Learning Framework for Object Detection. - Kihyuk Sohn; Zizhao Zhang; Chun-Liang Li; Han Zhang 010; Chen-Yu Lee; Tomas Pfister (CoRR, 2020)

i-Mix: A Strategy for Regularizing Contrastive Representation Learning. - Kibok Lee 003; Yian Zhu; Kihyuk Sohn; Chun-Liang Li; Jinwoo Shin; Honglak Lee (CoRR, 2020)

Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques. - Jihyeon Lee; Joseph Z. Xu; Kihyuk Sohn; Wenhan Lu; David Berthelot; Izzeddin Gur; Pranav Khaitan; Ke-Wei Huang; Kyriacos Koupparis; Bernhard Kowatsch (CoRR, 2020)

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. - Chun-Liang Li; Kihyuk Sohn; Jinsung Yoon; Tomas Pfister (CVPR, 2021)

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. - Chen Wei 005; Kihyuk Sohn; Clayton Mellina; Alan L. Yuille; Fan Yang (CVPR, 2021)

i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. - Kibok Lee 003; Yian Zhu; Kihyuk Sohn; Chun-Liang Li; Jinwoo Shin; Honglak Lee (ICLR, 2021)

Learning and Evaluating Representations for Deep One-Class Classification. - Kihyuk Sohn; Chun-Liang Li; Jinsung Yoon; Minho Jin; Tomas Pfister (ICLR, 2021)

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

Controlling Neural Networks with Rule Representations. - Sungyong Seo; Sercan Ö. Arik; Jinsung Yoon; Xiang Zhang; Kihyuk Sohn; Tomas Pfister (NeurIPS, 2021)

Self-Trained One-class Classification for Unsupervised Anomaly Detection. - Jinsung Yoon; Kihyuk Sohn; Chun-Liang Li; Sercan Ö. Arik; Chen-Yu Lee; Tomas Pfister (CoRR, 2021)

AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. - David Berthelot; Rebecca Roelofs; Kihyuk Sohn; Nicholas Carlini; Alexey Kurakin (ICLR, 2022)

Towards Group Robustness in the presence of Partial Group Labels. - Vishnu Suresh Lokhande; Kihyuk Sohn; Jinsung Yoon; Madeleine Udell; Chen-Yu Lee; Tomas Pfister (CoRR, 2022)

Federated Semi-Supervised Learning with Prototypical Networks. - Woojung Kim; Keondo Park; Kihyuk Sohn; Raphael Shu; Hyung-Sin Kim (CoRR, 2022)

Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection. - Jinsung Yoon; Kihyuk Sohn; Chun-Liang Li; Sercan Ö. Arik; Chen-Yu Lee; Tomas Pfister (Trans. Mach. Learn. Res., 2022)

FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. - Chen-Yu Lee; Chun-Liang Li; Hao Zhang; Timothy Dozat; Vincent Perot; Guolong Su; Xiang Zhang; Kihyuk Sohn; Nikolay Glushnev; Renshen Wang; Joshua Ainslie; Shangbang Long; et al. (ACL (1), 2023)

MaskSketch: Unpaired Structure-guided Masked Image Generation. - Dina Bashkirova; José Lezama; Kihyuk Sohn; Kate Saenko; Irfan Essa (CVPR, 2023)

Prefix Conditioning Unifies Language and Label Supervision. - Kuniaki Saito; Kihyuk Sohn; Xiang Zhang; Chun-Liang Li; Chen-Yu Lee; Kate Saenko; Tomas Pfister (CVPR, 2023)

Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. - Kuniaki Saito; Kihyuk Sohn; Xiang Zhang; Chun-Liang Li; Chen-Yu Lee; Kate Saenko; Tomas Pfister (CVPR, 2023)

Visual Prompt Tuning for Generative Transfer Learning. - Kihyuk Sohn; Huiwen Chang; José Lezama; Luisa Polania; Han Zhang 010; Yuan Hao; Irfan Essa; Lu Jiang 004 (CVPR, 2023)

MAGVIT: Masked Generative Video Transformer. - Lijun Yu; Yong Cheng; Kihyuk Sohn; José Lezama; Han Zhang 010; Huiwen Chang; Alexander G. Hauptmann; Ming-Hsuan Yang 001; Yuan Hao; Irfan Essa; Lu Jiang 004 (CVPR, 2023)

Video Probabilistic Diffusion Models in Projected Latent Space. - Sihyun Yu; Kihyuk Sohn; Subin Kim 001; Jinwoo Shin (CVPR, 2023)

Collaborative Score Distillation for Consistent Visual Editing. - Subin Kim 001; Kyungmin Lee; June Suk Choi; Jongheon Jeong; Kihyuk Sohn; Jinwoo Shin (NeurIPS, 2023)

StyleDrop: Text-to-Image Synthesis of Any Style. - Kihyuk Sohn; Lu Jiang 004; Jarred Barber; Kimin Lee; Nataniel Ruiz; Dilip Krishnan; Huiwen Chang; Yuanzhen Li; Irfan Essa; Michael Rubinstein; Yuan Hao; Glenn Entis; et al. (NeurIPS, 2023)

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. - Justin Lazarow; Kihyuk Sohn; Chen-Yu Lee; Chun-Liang Li; Zizhao Zhang; Tomas Pfister (WACV, 2023)

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. - Kihyuk Sohn; Jinsung Yoon; Chun-Liang Li; Chen-Yu Lee; Tomas Pfister (WACV, 2023)

Learning Disentangled Prompts for Compositional Image Synthesis. - Kihyuk Sohn; Albert E. Shaw; Yuan Hao; Han Zhang 010; Luisa Polania; Huiwen Chang; Lu Jiang 004; Irfan Essa (CoRR, 2023)

StyleDrop: Text-to-Image Generation in Any Style. - Kihyuk Sohn; Nataniel Ruiz; Kimin Lee; Daniel Castro Chin; Irina Blok; Huiwen Chang; Jarred Barber; Lu Jiang 004; Glenn Entis; Yuanzhen Li; Yuan Hao; Irfan Essa; et al. (CoRR, 2023)

Collaborative Score Distillation for Consistent Visual Synthesis. - Subin Kim 001; Kyungmin Lee; June Suk Choi; Jongheon Jeong; Kihyuk Sohn; Jinwoo Shin (CoRR, 2023)

Label Budget Allocation in Multi-Task Learning. - Ximeng Sun; Kihyuk Sohn; Kate Saenko; Clayton Mellina; Xiao Bian (CoRR, 2023)

Improve Supervised Representation Learning with Masked Image Modeling. - Kaifeng Chen; Daniel Salz; Huiwen Chang; Kihyuk Sohn; Dilip Krishnan; Mojtaba Seyedhosseini (CoRR, 2023)

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. - Jinsung Yoon; Kihyuk Sohn; Chun-Liang Li; Sercan Ö. Arik; Tomas Pfister (Trans. Mach. Learn. Res., 2023)

Instruct-Imagen: Image Generation with Multi-modal Instruction. - Hexiang Hu; Kelvin C. K. Chan; Yu-Chuan Su; Wenhu Chen; Yandong Li; Kihyuk Sohn; Yang Zhao; Xue Ben; Boqing Gong; William W. Cohen; Ming-Wei Chang; Xuhui Jia (CVPR, 2024)

Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data. - Tarun Kalluri; Jihyeon Lee; Kihyuk Sohn; Sahil Singla 005; Manmohan Chandraker; Joseph Xu; Jeremiah Z. Liu (CVPR Workshops, 2024)

Photorealistic Video Generation with Diffusion Models. - Agrim Gupta; Lijun Yu; Kihyuk Sohn; Xiuye Gu; Meera Hahn; Fei-Fei Li 001; Irfan Essa; Lu Jiang 004; José Lezama (ECCV (79), 2024)

DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow. - Kyungmin Lee; Kihyuk Sohn; Jinwoo Shin (ICLR, 2024)

Language Model Beats Diffusion - Tokenizer is key to visual generation. - Lijun Yu; José Lezama; Nitesh Bharadwaj Gundavarapu; Luca Versari; Kihyuk Sohn; David Minnen; Yong Cheng; Agrim Gupta; Xiuye Gu; Alexander G. Hauptmann; Boqing Gong; Ming-Hsuan Yang 001; et al. (ICLR, 2024)

VideoPoet: A Large Language Model for Zero-Shot Video Generation. - Dan Kondratyuk; Lijun Yu; Xiuye Gu; José Lezama; Jonathan Huang; Grant Schindler; Rachel Hornung; Vighnesh Birodkar; Jimmy Yan; Ming-Chang Chiu; Krishna Somandepalli; Hassan Akbari; et al. (ICML, 2024)

FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models. - Gong Zhang 011; Kihyuk Sohn; Meera Hahn; Humphrey Shi; Irfan Essa (NeurIPS, 2024)

Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models. - Kyungmin Lee; Sangkyung Kwak; Kihyuk Sohn; Jinwoo Shin (NeurIPS, 2024)

Direct Consistency Optimization for Compositional Text-to-Image Personalization. - Kyungmin Lee; Sangkyung Kwak; Kihyuk Sohn; Jinwoo Shin (CoRR, 2024)

Unsupervised LLM Adaptation for Question Answering. - Kuniaki Saito; Kihyuk Sohn; Chen-Yu Lee; Yoshitaka Ushiku (CoRR, 2024)

Text Prompting for Multi-Concept Video Customization by Autoregressive Generation. - Divya Kothandaraman; Kihyuk Sohn; Ruben Villegas; Paul Voigtlaender; Dinesh Manocha; Mohammad Babaeizadeh (CoRR, 2024)

Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model. - Kuniaki Saito; Chen-Yu Lee; Kihyuk Sohn; Yoshitaka Ushiku (NAACL (Long Papers), 2025)