Conducting
state-of-the-art research

STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment

Jaewoo Lee, Jaehong Yoon, Wonjae Kim, YunJi Kim and Sung Ju Hwang

ICML 2024

Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes

Jaehyeong Jo and Sung Ju Hwang

ICML 2024

Graph Generation with Diffusion Mixture

Jaehyeong Jo, Dongki Kim and and Sung Ju Hwang

ICML 2024

Drug Discovery with Dynamic Goal-aware Fragments

Seul Lee, Seanie Lee, Kenji Kawaguchi and Sung Ju Hwang

ICML 2024

BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation

Daeun Lee, Jaehong Yoon and Sung Ju Hwang

ICML 2024

EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens

Sunil Hwang, Jaehong Yoon, Youngwan Lee and Sung Ju Hwang

ICML 2024

One Prompt is not Enough: Automated Construction off a Mixture-of-Experts Prompts

Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang and Cho-Jui Hsieh,

ICML 2024

Adaptive-RAG: Learning to Adapt Retreival-Augmented Large Language Models through Question complexity

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang and Jong C.Park

NAACL 2024

Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models

Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang and Se-Young Yun

NAACL 2024

ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning

Beomgyoung Kim, Joonsang Yu and Sung Ju Hwang

CVPR 2024

SEA: Sparse Linear Attention with Estimated Attention Mask

HeeJun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang

ICLR 2024

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models

Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, and Sung Ju Hwang

ICLR 2024

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks

Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi and Sung Ju Hwang

NeurIPS 2023

Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations

Hyeonjeong Ha, Minseon Kim and Sung Ju Hwang

NeurIPS 2023

Effective Targeted Attacks for Adversarial Self-Supervised Learning

Minseon Kim, Hyeonjeong Ha, Sooel Son and Sung Ju Hwang

NeurIPS 2023

Language Detoxification with Attribute-Discriminative Latent Space

Jinmyung Kwak, Minseon Kim, and Sung Ju Hwang

ACL 2023

Sparse Token Transformers with Attention Back Tracking

Heejun Lee, Minki Kang, Youngwan Lee and Sung Ju Hwang

ICLR 2023

Latent Paraphrasing : Perturbation on layers improves knowledge injection in language models

Minki Kang, Gibbeum Lee, Jaewoong Cho and Sung Ju Hwang

NeurIPS 2024

STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment

Jaewoo Lee, Jaehong Yoon, Wonjae Kim, YunJi Kim and Sung Ju Hwang

ICML 2024

Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes

Jaehyeong Jo and Sung Ju Hwang

ICML 2024

Graph Generation with Diffusion Mixture

Jaehyeong Jo, Dongki Kim and and Sung Ju Hwang

ICML 2024

Drug Discovery with Dynamic Goal-aware Fragments

Seul Lee, Seanie Lee, Kenji Kawaguchi and Sung Ju Hwang

ICML 2024

BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation

Daeun Lee, Jaehong Yoon and Sung Ju Hwang

ICML 2024

EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens

Sunil Hwang, Jaehong Yoon, Youngwan Lee and Sung Ju Hwang

ICML 2024

One Prompt is not Enough: Automated Construction off a Mixture-of-Experts Prompts

Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang and Cho-Jui Hsieh,

ICML 2024

Adaptive-RAG: Learning to Adapt Retreival-Augmented Large Language Models through Question complexity

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang and Jong C.Park

NAACL 2024

Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models

Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang and Se-Young Yun

NAACL 2024

ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning

Beomgyoung Kim, Joonsang Yu and Sung Ju Hwang

CVPR 2024

SEA: Sparse Linear Attention with Estimated Attention Mask

HeeJun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang

ICLR 2024

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models

Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, and Sung Ju Hwang

ICLR 2024

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks

Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi and Sung Ju Hwang

NeurIPS 2023

Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations

Hyeonjeong Ha, Minseon Kim and Sung Ju Hwang

NeurIPS 2023

Effective Targeted Attacks for Adversarial Self-Supervised Learning

Minseon Kim, Hyeonjeong Ha, Sooel Son and Sung Ju Hwang

NeurIPS 2023

Language Detoxification with Attribute-Discriminative Latent Space

Jinmyung Kwak, Minseon Kim, and Sung Ju Hwang

ACL 2023

Sparse Token Transformers with Attention Back Tracking

Heejun Lee, Minki Kang, Youngwan Lee and Sung Ju Hwang

ICLR 2023

Products

Technology

Publication

Company

Blog

Naver D2 Startup Campus, Seoul, South Korea 🇰🇷

200 Rivserside Blvd #18G, New York, USA 🇺🇸

Products

Technology

Publication

Company

Blog

Naver D2 Startup Campus, Seoul, South Korea 🇰🇷

200 Rivserside Blvd #18G, New York, USA 🇺🇸

Products

Blog

Naver D2 Startup Campus, Seoul, South Korea 🇰🇷

200 Rivserside Blvd #18G, New York, USA 🇺🇸

Conducting state-of-the-art research

Conducting state-of-the-art research

Conducting state-of-the-art research

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks

Conducting
state-of-the-art research

Conducting
state-of-the-art research

Conducting
state-of-the-art research