
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning
Deep reinforcement learning (RL) agents often fail to generalize to unse...
10/11/2019 ∙ by Kimin Lee, et al. ∙ 23 ∙ shareread it

Incremental Learning with Unlabeled Data in the Wild
Deep neural networks are known to suffer from catastrophic forgetting in...
03/29/2019 ∙ by Kibok Lee, et al. ∙ 12 ∙ shareread it

Rethinking Data Augmentation: SelfSupervision and SelfDistillation
Data augmentation techniques, e.g., flipping or cropping, which systemat...
10/14/2019 ∙ by Hankook Lee, et al. ∙ 12 ∙ shareread it

Mining GOLD Samples for Conditional GANs
Conditional generative adversarial networks (cGANs) have gained a consid...
10/21/2019 ∙ by Sangwoo Mo, et al. ∙ 9 ∙ shareread it

Polynomial Tensor Sketch for Elementwise Function of LowRank Matrix
This paper studies how to sketch elementwise functions of lowrank matr...
05/28/2019 ∙ by Insu Han, et al. ∙ 8 ∙ shareread it

Learning What and Where to Transfer
As the application of deep learning has expanded to realworld problems ...
05/15/2019 ∙ by Yunhun Jang, et al. ∙ 7 ∙ shareread it

Robust Inference via Generative Classifiers for Handling Noisy Labels
Largescale datasets may contain significant proportions of noisy (incor...
01/31/2019 ∙ by Kimin Lee, et al. ∙ 6 ∙ shareread it

Training CNNs with Selective Allocation of Channels
Recent progress in deep convolutional neural networks (CNNs) have enable...
05/11/2019 ∙ by Jongheon Jeong, et al. ∙ 4 ∙ shareread it

Spectral Approximate Inference
Given a graphical model (GM), computing its partition function is the mo...
05/14/2019 ∙ by Sejun Park, et al. ∙ 3 ∙ shareread it

A Simple Unified Framework for Detecting OutofDistribution Samples and Adversarial Attacks
Detecting test samples drawn sufficiently far away from the training dis...
07/10/2018 ∙ by Kimin Lee, et al. ∙ 2 ∙ shareread it

InstaGAN: Instanceaware ImagetoImage Translation
Unsupervised imagetoimage translation has gained considerable attentio...
12/28/2018 ∙ by Sangwoo Mo, et al. ∙ 2 ∙ shareread it

Training Confidencecalibrated Classifiers for Detecting OutofDistribution Samples
The problem of detecting whether a test sample is from indistribution (...
11/26/2017 ∙ by Kimin Lee, et al. ∙ 0 ∙ shareread it

Confident Multiple Choice Learning
Ensemble methods are arguably the most trustworthy techniques for boosti...
06/12/2017 ∙ by Kimin Lee, et al. ∙ 0 ∙ shareread it

Rapid Mixing SwendsenWang Sampler for Stochastic Partitioned Attractive Models
The Gibbs sampler is a particularly popular Markov chain used for learni...
04/06/2017 ∙ by Sejun Park, et al. ∙ 0 ∙ shareread it

Sequential Local Learning for Latent Graphical Models
Learning parameters of latent graphical models (GM) is inherently much h...
03/12/2017 ∙ by Sejun Park, et al. ∙ 0 ∙ shareread it

Contextual Multiarmed Bandits under Feature Uncertainty
We study contextual multiarmed bandit problems under linear realizabili...
03/03/2017 ∙ by SeYoung Yun, et al. ∙ 0 ∙ shareread it

Gauging Variational Inference
Computing partition function is the most important statistical inference...
03/03/2017 ∙ by Sungsoo Ahn, et al. ∙ 0 ∙ shareread it

Iterative Bayesian Learning for Crowdsourced Regression
Crowdsourcing platforms emerged as popular venues for purchasing human i...
02/28/2017 ∙ by Jungseul Ok, et al. ∙ 0 ∙ shareread it

MCMC assisted by Belief Propagaion
Markov Chain Monte Carlo (MCMC) and Belief Propagation (BP) are the most...
05/29/2016 ∙ by Sungsoo Ahn, et al. ∙ 0 ∙ shareread it

Adiabatic Persistent Contrastive Divergence Learning
This paper studies the problem of parameter learning in probabilistic gr...
05/26/2016 ∙ by Hyeryung Jang, et al. ∙ 0 ∙ shareread it

MaxProduct Belief Propagation for Linear Programming: Applications to Combinatorial Optimization
The maxproduct belief propagation (BP) is a popular messagepassing heu...
12/16/2014 ∙ by Sejun Park, et al. ∙ 0 ∙ shareread it

Optimal Inference in Crowdsourced Classification via Belief Propagation
Crowdsourcing systems are popular for solving largescale labelling task...
02/11/2016 ∙ by Jungseul Ok, et al. ∙ 0 ∙ shareread it

Minimum Weight Perfect Matching via Blossom Belief Propagation
Maxproduct Belief Propagation (BP) is a popular messagepassing algorit...
09/23/2015 ∙ by Sungsoo Ahn, et al. ∙ 0 ∙ shareread it

Loop Calculus and BootstrapBelief Propagation for Perfect Matchings on Arbitrary Graphs
This manuscript discusses computation of the Partition Function (PF) and...
06/05/2013 ∙ by Michael Chertkov, et al. ∙ 0 ∙ shareread it

Belief Propagation for Linear Programming
Belief Propagation (BP) is a popular, distributed heuristic for performi...
05/17/2013 ∙ by Andrew Gelfand, et al. ∙ 0 ∙ shareread it

The Complexity of Approximating a Bethe Equilibrium
This paper resolves a common complexity issue in the Bethe approximation...
09/08/2011 ∙ by Jinwoo Shin, et al. ∙ 0 ∙ shareread it

Gauged MiniBucket Elimination for Approximate Inference
Computing the partition function Z of a discrete graphical model is a fu...
01/05/2018 ∙ by Sungsoo Ahn, et al. ∙ 0 ∙ shareread it

Bucket Renormalization for Approximate Inference
Probabilistic graphical models are a key tool in machine learning applic...
03/14/2018 ∙ by Sungsoo Ahn, et al. ∙ 0 ∙ shareread it

Hierarchical Novelty Detection for Visual Object Recognition
Deep neural networks have achieved impressive success in largescale vis...
04/02/2018 ∙ by Kibok Lee, et al. ∙ 0 ∙ shareread it

Anytime Neural Prediction via Slicing Networks Vertically
The pioneer deep neural networks (DNNs) have emerged to be deeper or wid...
07/07/2018 ∙ by Hankook Lee, et al. ∙ 0 ∙ shareread it

Optimizing Spectral Sums using Randomized Chebyshev Expansions
The trace of matrix functions, often called spectral sums, e.g., rank, l...
02/18/2018 ∙ by Insu Han, et al. ∙ 0 ∙ shareread it

Simulationbased Distributed Coordination Maximization over Networks
In various online/offline multiagent networked environments, it is very...
09/13/2018 ∙ by Hyeryung Jang, et al. ∙ 0 ∙ shareread it

Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash?
In Aug. 2017, Bitcoin was split into the original Bitcoin (BTC) and Bitc...
02/28/2019 ∙ by Yujin Kwon, et al. ∙ 0 ∙ shareread it
Jinwoo Shin
is this you? claim profile
Assistant Professor at School of Electrical Engineering at KAIST, Korea, Ph.D. degree from Massachusetts Institute of Technology in 2010, Researcher at Algorithms & Randomness Center, Georgia Institute of Technology from 20102012, Business Analytics and Mathematical Sciences Department, IBM T. J. Watson Research from 20122013, Kenneth C. Sevcik Award at ACM SIGMETRICS/Performance 2009, Best Publication Award from INFORMS Applied Probability Society 2013, Best Paper Award at ACM MOBIHOC 2013, Bloomberg Scientific Research Award 2015 and ACM SIGMETRICS Rising Star Award 2015.