Recent Selected Publications (full list)

Training CNNs with Selective Allocation of Channels

Jongheon Jeong and Jinwoo Shin
International Conference on Machine Learning (ICML) 2019

Spectral Approximate Inference

Sejun Park, Eunho Yang, Se-Young Yun and Jinwoo Shin
International Conference on Machine Learning (ICML) 2019

Robust Inference via Generative Classifiers for Handling Noisy Labels

Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li and Jinwoo Shin
International Conference on Machine Learning (ICML) 2019 (preliminary version appeared in NeurIPS Workshop on Bayesian Deep Learning 2018)

Learning What and Where to Transfer

Yunhun Jang*, Hankook Lee*, Sung Ju Hwang and Jinwoo Shin
International Conference on Machine Learning (ICML) 2019 (* = equal contributions)

Using Pre-Training Can Improve Model Robustness and Uncertainty

Dan Hendrycks, Kimin Lee and Mantas Mazeika
International Conference on Machine Learning (ICML) 2019

InstaGAN: Instance-aware Image-to-Image Translation (code, media1, media2, media3, media4, media5, media6)

Sangwoo Mo, Minsu Cho and Jinwoo Shin
International Conference on Learning Representations (ICLR) 2019

Stochastic Chebyshev Gradient Descent for Spectral Optimization (poster, video)

Insu Han, Haim Avron and Jinwoo Shin
Neural Information Processing Systems (NeurIPS) 2018
Spotlight Presentation (168/4856=3.5%)

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks (poster, code, video)

Kimin Lee, Kibok Lee, Honglak Lee and Jinwoo Shin
Neural Information Processing Systems (NeurIPS) 2018
Spotlight Presentation (168/4856=3.5%)

Learning to Specialize with Knowledge Distillation for Visual Question Answering

Jonghwan Mun, Kimin Lee, Jinwoo Shin and Bohyung Han
Neural Information Processing Systems (NeurIPS) 2018

Neural Adaptive Content-aware Internet Video Delivery (demo)

Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin and Dongsu Han
The USENIX Symposium on Operating Systems Design and Implementation (OSDI) 2018
First Paper from KAIST in the history of OSDI

Bucket Renormalization for Approximate Inference (slide, poster)

Sungsoo Ahn, Michael Chertkov, Adrian Weller and Jinwoo Shin
International Conference on Machine Learning (ICML) 2018 and invited to Special issue on Machine Learning in the Journal of Statistical Mechanics, Theory and Experiment (JSTAT) 2019

Training Confidence-Calibrated Classifiers for Detecting Out-of-Distribution Samples (slide, poster, code)

Kimin Lee, Honglak Lee, Kibok Lee and Jinwoo Shin
International Conference on Learning Representations (ICLR) 2018