Martingale Posterior Neural Processes

ICLR 2023 Martingale Posterior Neural Processes  Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee   A Neural Process (NP) estimates a stochastic process implicitly defined with neural networks given a stream of data, rather than pre-specifying priors already...

Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance

ICLR 2023 Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance   Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang   With the advantages of fast inference and human-friendly flexible manipulation, image-agnostic style manip...

Exploring the Role of Mean Teacher in Self-supervised Masked Auto-Encoders

ICLR 2023 Exploring the Role of Mean Teacher in Self-supervised Masked Auto-Encoders Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang   Masked image modeling (MIM) has become a popular strategy for self-supervised learning (SSL) of visual representat...

Decoupled Training for Long-Tailed Classification With Stochastic Representations

ICLR 2023 Decoupled Training for Long-Tailed Classification With Stochastic Representations  Giung Nam, Sunguk Jang, Juho Lee   Decoupling representation learning and classifier learning has been shown to be effective in classification with long-tailed data. There ...

Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds

NeurIPS 2023 Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds  Jihun Yun and Eunho Yang   Nowadays, understanding the geometry of the loss landscape shows promise in enhancing a model's generalization ability. In this work, we draw upon prior wo...

GEX: A flexible method for approximating influence via Geometric Ensemble

NeurIPS 2023 GEX: A flexible method for approximating influence via Geometric Ensemble Sung-Yub Kim, Kyungsu Kim and Eunho Yang   Through a deeper understanding of predictions of neural networks, Influence Function (IF) has been applied to various tasks such as detectin...

Function Space Bayesian Pseudocoreset for Bayesian Neural Networks

NeurIPS 2023 Function Space Bayesian Pseudocoreset for Bayesian Neural Networks  Balhae Kim, Hyungi Lee, Juho Lee   A Bayesian pseudocoreset is a compact synthetic dataset summarizing essential information of a large-scale dataset and thus can be used as a proxy da...

StyleLipSync: Style-based Personalized Lip-sync Video Generation

ICCV 2023 StyleLipSync: Style-based Personalized Lip-sync Video Generation Taekyung Ki, Dongchan Min  In this paper, we present StyleLipSync, a style-based personalized lip-sync video generative model that can generate identity-agnostic lip-synchronizing video from arbitrary audi...

PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label

ICCV 2023 PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label   Joonhyung Park, Hyunjin Seo and Eunho Yang   Understanding point clouds captured from the real-world is challenging due to shifts in data d...

TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification

ICML 2022 TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Jaeyun Song, Joonhyung Park, Eunho Yang  Learning unbiased node representations under class-imbalanced graph data is challenging due to interactions between adjacent nodes. Existing studies have in...