Publications in Top CS Conferences

Provable Memorization via Deep Neural Networks using Sub-linear Parameters: Sejun Park, Jaeho Lee, Chulhee Yun and Jinwoo Shin
COLT 2021

Self-Improved Retrosynthetic Planning: Junsu Kim, Sungsoo Ahn, Hankook Lee and Jinwoo Shin
ICML 2021

State Entropy Maximization with Random Encoders for Efficient Exploration: Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel and Kimin Lee
ICML 2021

Learning to Generate Noise for Multi-Attack Robustness: Divyam Madaan, Jinwoo Shin and Sung Ju Hwang
ICML 2021

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning: Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang and Jinwoo Shin
IJCAI 2021

Quality-Agnostic Image Recognition via Invertible Decoder: Insoo Kim, Seungju Han, Ji-won Baek, Seong-Jin Park, Jae-Joon Han and Jinwoo Shin
CVPR 2021

Minimum Width for Universal Approximation: Sejun Park, Chulhee Yun, Jaeho Lee and Jinwoo Shin
ICLR 2021
Spotlight Presentation (114/2997=3.8%)

Training GANs with Stronger Augmentations via Contrastive Discriminator: Jongheon Jeong and Jinwoo Shin
ICLR 2021

Layer-adaptive Sparsity for the Magnitude-based Pruning: Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn and Jinwoo Shin
ICLR 2021

Learning to Sample with Local and Global Contexts in Experience Replay Buffer: Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
ICLR 2021 (preliminary version appeared in NeurIPS Workshop for Deep Reinforcement Learning 2020)

i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning: Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin and Honglak Lee
ICLR 2021 (preliminary version appeared in NeurIPS Workshop for Self-Supervised Learning: Theory and Practice 2020)

Elastic Resource Sharing for Distributed Deep Learning: Changho Hwang, Taehyun Kim, Sunghyun Kim, Jinwoo Shin and KyoungSoo Park
NSDI 2021

MASKER: Masked Keyword Regularization for Reliable Text Classification (slide, poster, code): Seung Jun Moon*, Sangwoo Mo*, Kimin Lee, Jaeho Lee and Jinwoo Shin
AAAI 2021

GTA: Graph Truncated Attention for Retrosynthesis: Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang and Eunho Yang
AAAI 2021

Learning Bounds for Risk-sensitive Learning (code, slide): Jaeho Lee, Sejun Park and Jinwoo Shin
NeurIPS 2020

Time-Reversal Symmetric ODE Network (code): In Huh, Eunho Yang, Sung Ju Hwang and Jinwoo Shin
NeurIPS 2020

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (slide, poster, code): Jihoon Tack*, Sangwoo Mo*, Jongheon Jeong and Jinwoo Shin
NeurIPS 2020

Guiding Deep Molecular Optimization with Genetic Exploration (code): Sungsoo Ahn, Junsu Kim, Hankook Lee and Jinwoo Shin
NeurIPS 2020

Consistency Regularization for Certified Robustness of Smoothed Classifiers (code): Jongheon Jeong and Jinwoo Shin
NeurIPS 2020 (preliminary version appeared in ICML Workshop on Uncertainty & Robustness in Deep Learning 2020)

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (site, code): Younggyo Seo*, Kimin Lee*, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin and Pieter Abbeel
NeurIPS 2020

Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning: Youngsung Kim, Jinwoo Shin, Eunho Yang and Sung Ju Hwang
NeurIPS 2020

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning (code, slide): Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang and Jinwoo Shin
NeurIPS 2020

Learning from Failure: De-biasing Classifier from Biased Classifier (code): Junhyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee and Jinwoo Shin
NeurIPS 2020

Adversarial Self-Supervised Contrastive Learning (site, code): Minseon Kim, Jihoon Tack and Sung Ju Hwang
NeurIPS 2020

Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix (talk): Insu Han, Haim Avron and Jinwoo Shin
ICML 2020

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning (site, code, talk): Kimin Lee*, Younggyo Seo*, Seunghyun Lee, Honglak Lee and Jinwoo Shin
ICML 2020

Learning What to Defer for Maximum Independent Sets (code, talk): Sungsoo Ahn, Younggyo Seo and Jinwoo Shin
ICML 2020

Self-supervised Label Augmentation via Input Transformations (code, talk): Hankook Lee, Sung Ju Hwang and Jinwoo Shin
ICML 2020

Adversarial Neural Pruning with Latent Vulnerability Suppression (code, talk): Divyam Madaan, Jinwoo Shin and Sung Ju Hwang
ICML 2020

Regularizing Class-wise Predictions via Self-knowledge Distillation (code): Sukmin Yun*, Jongjin Park*, Kimin Lee and Jinwoo Shin
CVPR 2020

M2m: Imbalanced Classification via Major-to-minor Translation (code, slide): Jaehyung Kim*, Jongheon Jeong* and Jinwoo Shin
CVPR 2020

Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (slide, code, talk): Sejun Park*, Jaeho Lee*, Sangwoo Mo and Jinwoo Shin
ICLR 2020

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning (code, talk): Kimin Lee*, Kibok Lee*, Jinwoo Shin and Honglak Lee
ICLR 2020 (preliminary version appeared in NeurIPS Workshop on Deep Reinforcement Learning 2019 as Oral Presentation)

MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search: Insu Han and Jennifer Gillenwater
AISTATS 2020

Mining GOLD Samples for Conditional GANs (poster, code): Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho and Jinwoo Shin
NeurIPS 2019

MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing (talk): Taesik Gong, Yeonsu Kim, Jinwoo Shin and Sung-Ju Lee
SenSys 2019 (preliminary version appeared in MobiSys Poster track 2019)

Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild: Kibok Lee, Kimin Lee, Jinwoo Shin and Honglak Lee
ICCV 2019 (preliminary version appeared in CVPR Workshop on Uncertainty and Robustness in Deep Visual Learning 2019)

Deep Neural Network Approach in Electrical Impedance Tomography-Based Real-Time Soft Tactile Sensor: Hyunkyu Park, Hyosang Lee, Kyungseo Park, Sangwoo Mo and Jung Kim
IROS 2019

Training CNNs with Selective Allocation of Channels (code): Jongheon Jeong and Jinwoo Shin
ICML 2019

Spectral Approximate Inference (code): Sejun Park, Eunho Yang, Se-Young Yun and Jinwoo Shin
ICML 2019

Robust Inference via Generative Classifiers for Handling Noisy Labels (code): Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li and Jinwoo Shin
ICML 2019 (preliminary version appeared in NeurIPS Workshop on Bayesian Deep Learning 2018)
Long Oral Presentation (159/3424=4.6%)

Learning What and Where to Transfer (code): Yunhun Jang*, Hankook Lee*, Sung Ju Hwang and Jinwoo Shin
ICML 2019

Using Pre-Training Can Improve Model Robustness and Uncertainty (code): Dan Hendrycks, Kimin Lee and Mantas Mazeika
ICML 2019

Variational Information Distillation for Knowledge Transfer (code): Sungsoo Ahn, Shell Hu, Andreas Damianou, Neil Lawrence and Zhenwen Dai
CVPR 2019 (preliminary version appeared in NeurIPS Workshop on Continual Learning 2018)

Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? (site): Yujin Kwon, Hyoungshick Kim, Jinwoo Shin and Yongdae Kim
S&P 2019

InstaGAN: Instance-aware Image-to-Image Translation (poster, code, media1, media2, media3, media4, media5, media6): Sangwoo Mo, Minsu Cho and Jinwoo Shin
ICLR 2019

Iterative Bayesian Learning for Crowdsourced Regression (code): Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin and Yung Yi
AISTATS 2019

Stochastic Chebyshev Gradient Descent for Spectral Optimization (poster, talk): Insu Han, Haim Avron and Jinwoo Shin
NeurIPS 2018
Spotlight Presentation (168/4856=3.5%)

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks (poster, code, talk): Kimin Lee, Kibok Lee, Honglak Lee and Jinwoo Shin
NeurIPS 2018 (preliminary version appeared in ICML Workshop on Theoretical Foundations and Applications of Deep Generative Models 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
NeurIPS 2018

Neural Adaptive Content-aware Internet Video Delivery (demo): Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin and Dongsu Han
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
ICML 2018

Hierarchical Novelty Detection for Visual Object Recognition (poster, code): Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin and Honglak Lee
CVPR 2018

Training Confidence-Calibrated Classifiers for Detecting Out-of-Distribution Samples (slide, poster, code): Kimin Lee, Honglak Lee, Kibok Lee and Jinwoo Shin
ICLR 2018 (preliminary version appeared in NIPS Workshop on Bayesian Deep Learning 2017)

Gauged Mini-Bucket Elimination for Approximate Inference (poster): Sungsoo Ahn, Michael Chertkov, Jinwoo Shin and Adrian Weller
AISTATS 2018

Multi-armed Bandit with Additional Observations: Donggyu Yun, Sumyeong Ahn, Alexandre Proutiere, Jinwoo Shin and Yung Yi
SIGMETRICS 2018 (and Proceedings of the ACM on Measurement and Analysis of Computing Systems, vol. 2, no. 1, pp. 13:1-13:22, 2018)

Gauging Variational Inference (slide, poster): Sungsoo Ahn, Michael Chertkov and Jinwoo Shin
NIPS 2017

Faster Greedy MAP Inference for Determinantal Point Processes (slide, poster, code, talk): Insu Han, Prabhanjan Kambadur, Kyoungsoo Park and Jinwoo Shin
ICML 2017

Confident Multiple Choice Learning (slide, poster, code): Kimin Lee, Changho Hwang, Kyoungsoo Park and Jinwoo Shin
ICML 2017

Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models (poster): Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic and Eric Vigoda
AISTATS 2017

Incentivizing Strategic Users for Social Diffusion: Quantity or Quality?: Jungseul Ok, Jinwoo Shin and Yung Yi
INFOCOM 2017

Rumor Source Detection under Querying with Untruthful Answers: Jaeyoung Choi, Sangwoo Moon, Jiin Woo, KyunHwan Son, Jinwoo Shin and Yung Yi
INFOCOM 2017

Synthesis of MCMC and Belief Propagation (code): Sungsoo Ahn, Michael Chertkov and Jinwoo Shin
NIPS 2016
Full Oral Presentation (46/2500=1.8%)

Optimality of Belief Propagation for Crowdsourced Classification (code): Jungseul Ok, Sewoong Oh, Jinwoo Shin and Yung Yi
ICML 2016

Distributed Coordination Maximization over Networks: A Stochastic Approximation Approach: Hyeryung Jang, Se-Young Yun, Jinwoo Shin and Yung Yi
MOBIHOC 2016

Just-in-time WLANs: On-demand Interference-managed WLAN Infrastructures: Kimin Lee, Yeonkeun Kim, Seokhyun Kim, Jinwoo Shin, Seungwon Shin and Song Chong
INFOCOM 2016

Minimum Weight Perfect Matching via Blossom Belief Propagation: Sungsoo Ahn, Sejun Park, Michael Chertkov and Jinwoo Shin
NIPS 2015
Spotlight Presentation (82/1838=4.5%)

Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization: Sejun Park and Jinwoo Shin
UAI 2015

Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions (code, talk): Insu Han, Dmitry Malioutov and Jinwoo Shin
ICML 2015

On the Progressive Spread over Strategic Diffusion: Asymptotic and Computation: Jungseul Ok, Jinwoo Shin and Yung Yi
INFOCOM 2015

On Maximizing the Diffusion Speed in Social Networks: Impact of Random Seeding and Clustering: Jungseul Ok, Youngmi Jin, Jinwoo Shin and Yung Yi
SIGMETRICS 2014

Scheduling using Interactive Oracles: Connection between Iterative Optimization and Low-complexity Scheduling: Jinwoo Shin and Tonghoon Suk
SIGMETRICS 2014 (short paper)

Distributed Learning for Utility Maximization over CSMA-based Wireless Multi-hop Networks: Hyeryung Jang, Se-Young Yun, Jinwoo Shin and Yung Yi
INFOCOM 2014

Provable Per-Link Delay-Optimal CSMA for General Wireless Network Topology: Dongmyung Lee, Donggyu Yun, Jinwoo Shin, Yung Yi and Se-Young Yun
INFOCOM 2014

A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles: Jinwoo Shin, Andrew E. Gelfand and Michael Chertkov
NIPS 2013

CSMA over Time-varying Channels: Optimality, Uniqueness and Limited Backoff Rate: Se-Young Yun, Jinwoo Shin and Yung Yi
MOBIHOC 2013
Best Paper Award

Hybrid Client-Server and Peer-to-Peer Caching Systems with Selfish Peers: Youngmi Jin, Yung Yi, George Kesidis, Fatih Kocak and Jinwoo Shin
INFOCOM 2013

Complexity of Bethe Approximation: Jinwoo Shin
AISTATS 2012

Medium Access using Queues: Devavrat Shah, Jinwoo Shin and Prasad Tetali
FOCS 2011

Improved Mixing Condition on the Grid for Counting and Sampling Independent Sets: Ricardo Restrepo, Jinwoo Shin, Prasad Tetali, Eric Vigoda and Linji Yang
FOCS 2011

Dynamics in Congestion Games: Devavrat Shah and Jinwoo Shin
SIGMETRICS 2010

Delay Optimal Queue-based CSMA: Devavrat Shah and Jinwoo Shin
SIGMETRICS 2010 (short paper)

Network Adiabatic Theorem: An Efficient Randomized Protocol for Contention Resolution: Shreevatsa Rajagopalan, Devavrat Shah and Jinwoo Shin
SIGMETRICS 2009
Kenneth C. Sevcik (Best Student Paper) Award
ACM SIGMETRICS Test of Time Award