Jinwoo Shin

Jinwoo Shin

KAIST

H-index: 48

Asia-South Korea

About Jinwoo Shin

Jinwoo Shin, With an exceptional h-index of 48 and a recent h-index of 42 (since 2020), a distinguished researcher at KAIST, specializes in the field of Machine Learning, Deep Learning, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Accelerating reinforcement learning with value-conditional state entropy exploration

Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training

Improving Diffusion Models for Virtual Try-on

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs

Querying Easily Flip-flopped Samples for Deep Active Learning

S-clip: Semi-supervised vision-language learning using few specialist captions

Online Adaptation of Language Models with a Memory of Amortized Contexts

Hierarchical context merging: Better long context understanding for pre-trained LLMs

Jinwoo Shin Information

University

Position

Associate Professor  AI & EE

Citations(all)

10056

Citations(since 2020)

8825

Cited By

2798

hIndex(all)

48

hIndex(since 2020)

42

i10Index(all)

116

i10Index(since 2020)

99

Email

University Profile Page

Google Scholar

Jinwoo Shin Skills & Research Interests

Machine Learning

Deep Learning

Reinforcement Learning

Top articles of Jinwoo Shin

Title

Journal

Author(s)

Publication Date

Accelerating reinforcement learning with value-conditional state entropy exploration

Advances in Neural Information Processing Systems

Dongyoung Kim

Jinwoo Shin

Pieter Abbeel

Younggyo Seo

2024/2/13

Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training

Advances in Neural Information Processing Systems

Jian Meng

Li Yang

Kyungmin Lee

Jinwoo Shin

Deliang Fan

...

2024/2/13

Improving Diffusion Models for Virtual Try-on

arXiv preprint arXiv:2403.05139

Yisol Choi

Sangkyung Kwak

Kyungmin Lee

Hyungwon Choi

Jinwoo Shin

2024/3/8

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs

arXiv preprint arXiv:2404.13081

Jaehyung Kim

Jaehyun Nam

Sangwoo Mo

Jongjin Park

Sang-Woo Lee

...

2024/4/17

Querying Easily Flip-flopped Samples for Deep Active Learning

arXiv preprint arXiv:2401.09787

Seong Jin Cho

Gwangsu Kim

Junghyun Lee

Jinwoo Shin

Chang D Yoo

2024/1/18

S-clip: Semi-supervised vision-language learning using few specialist captions

Advances in Neural Information Processing Systems

Sangwoo Mo

Minkyu Kim

Kyungmin Lee

Jinwoo Shin

2024/2/13

Online Adaptation of Language Models with a Memory of Amortized Contexts

arXiv preprint arXiv:2403.04317

Jihoon Tack

Jaehyung Kim

Eric Mitchell

Jinwoo Shin

Yee Whye Teh

...

2024/3/7

Hierarchical context merging: Better long context understanding for pre-trained LLMs

arXiv preprint arXiv:2404.10308

Woomin Song

Seunghyuk Oh

Sangwoo Mo

Jaehyung Kim

Sukmin Yun

...

2024/4/16

Few-shot Anomaly Detection via Personalization

IEEE Access

Sangkyung Kwak

Jongheon Jeong

Hankook Lee

Woohyuck Kim

Dongho Seo

...

2024/1/16

Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder

Advances in Neural Information Processing Systems

Huiwon Jang

Jihoon Tack

Daewon Choi

Jongheon Jeong

Jinwoo Shin

2024/2/13

Direct Consistency Optimization for Compositional Text-to-Image Personalization

arXiv preprint arXiv:2402.12004

Kyungmin Lee

Sangkyung Kwak

Kihyuk Sohn

Jinwoo Shin

2024/2/19

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models

arXiv preprint arXiv:2404.01863

Kyuyoung Kim

Jongheon Jeong

Minyong An

Mohammad Ghavamzadeh

Krishnamurthy Dvijotham

...

2024/4/2

Multi-scale Diffusion Denoised Smoothing

Advances in Neural Information Processing Systems

Jongheon Jeong

Jinwoo Shin

2024/2/13

Collaborative score distillation for consistent visual editing

Advances in Neural Information Processing Systems

Subin Kim

Kyungmin Lee

June Suk Choi

Jongheon Jeong

Kihyuk Sohn

...

2024/2/13

DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow

arXiv preprint arXiv:2403.14966

Kyungmin Lee

Kihyuk Sohn

Jinwoo Shin

2024/3/22

Guide Your Agent with Adaptive Multimodal Rewards

Advances in Neural Information Processing Systems

Changyeon Kim

Younggyo Seo

Hao Liu

Lisa Lee

Jinwoo Shin

...

2024/2/13

Learning Large-scale Neural Fields via Context Pruned Meta-Learning

Advances in Neural Information Processing Systems

Jihoon Tack

Subin Kim

Sihyun Yu

Jaeho Lee

Jinwoo Shin

...

2023

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition

Sihyun Yu

Weili Nie

De-An Huang

Boyi Li

Jinwoo Shin

...

2024

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing

Jongin Lim

Youngdong Kim

Byungjai Kim

Chanho Ahn

Jinwoo Shin

...

2023

Fragment-based multi-view molecular contrastive learning

Seojin Kim

Jaehyun Nam

Junsu Kim

Hankook Lee

Sungsoo Ahn

...

2023/4/21

See List of Professors in Jinwoo Shin University(KAIST)