Yi Sun

Limited Gradient Descent: Learning With Noisy Labels

Label noise may handicap the generalization of classifiers, and it is an...
11/20/2018 ∙ by Yi Sun, et al. ∙ 14 ∙ share

read it
Transfer of Adversarial Robustness Between Perturbation Types

We study the transfer of adversarial robustness of deep neural networks ...
05/03/2019 ∙ by Daniel Kang, et al. ∙ 12 ∙ share

read it
Line as object: datasets and framework for semantic line segment detection

In this work, we propose a learning-based approach to the task of detect...
09/14/2019 ∙ by Yi Sun, et al. ∙ 10 ∙ share

read it
Learning Vine Copula Models For Synthetic Data Generation

A vine copula model is a flexible high-dimensional dependence model whic...
12/04/2018 ∙ by Yi Sun, et al. ∙ 6 ∙ share

read it
Testing Robustness Against Unforeseen Adversaries

Considerable work on adversarial defense has studied robustness to a fix...
08/21/2019 ∙ by Daniel Kang, et al. ∙ 1 ∙ share

read it
On the Size of the Online Kernel Sparsification Dictionary

We analyze the size of the dictionary constructed from online kernel spa...
06/18/2012 ∙ by Yi Sun, et al. ∙ 0 ∙ share

read it
From random walks to distances on unweighted graphs

Large unweighted directed graphs are commonly used to capture relations ...
11/02/2015 ∙ by Tatsunori B. Hashimoto, et al. ∙ 0 ∙ share

read it
Metric recovery from directed unweighted graphs

We analyze directed, unweighted graphs obtained from x_i∈R^d by connecti...
11/20/2014 ∙ by Tatsunori B. Hashimoto, et al. ∙ 0 ∙ share

read it
Efficient Natural Evolution Strategies

Efficient Natural Evolution Strategies (eNES) is a novel alternative to ...
09/26/2012 ∙ by Yi Sun, et al. ∙ 0 ∙ share

read it
Sparsifying Neural Network Connections for Face Recognition

This paper proposes to learn high-performance deep ConvNets with sparse ...
12/07/2015 ∙ by Yi Sun, et al. ∙ 0 ∙ share

read it
A Linear Time Natural Evolution Strategy for Non-Separable Functions

We present a novel Natural Evolution Strategy (NES) variant, the Rank-On...
06/10/2011 ∙ by Yi Sun, et al. ∙ 0 ∙ share

read it
DeepID3: Face Recognition with Very Deep Neural Networks

The state-of-the-art of face recognition has been significantly advanced...
02/03/2015 ∙ by Yi Sun, et al. ∙ 0 ∙ share

read it
Deeply learned face representations are sparse, selective, and robust

This paper designs a high-performance deep convolutional network (DeepID...
12/03/2014 ∙ by Yi Sun, et al. ∙ 0 ∙ share

read it
Natural Evolution Strategies

This paper presents Natural Evolution Strategies (NES), a recent family ...
06/22/2011 ∙ by Daan Wierstra, et al. ∙ 0 ∙ share

read it
Deep Learning Face Representation by Joint Identification-Verification

The key challenge of face recognition is to develop effective feature re...
06/18/2014 ∙ by Yi Sun, et al. ∙ 0 ∙ share

read it
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments

To maximize its success, an AGI typically needs to explore its initially...
03/29/2011 ∙ by Yi Sun, et al. ∙ 0 ∙ share

read it
Development of a computer-aided design software for dental splint in orthognathic surgery

In the orthognathic surgery, dental splints are important and necessary ...
03/09/2017 ∙ by Xiaojun Chen, et al. ∙ 0 ∙ share

read it
Spiked covariances and principal components analysis in high-dimensional random effects models

We study principal components analyses in multivariate random and mixed ...
06/25/2018 ∙ by Zhou Fan, et al. ∙ 0 ∙ share

read it
An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails

High-speed rail (HSR) systems potentially provide a more efficient way o...
12/12/2018 ∙ by Jing Wang, et al. ∙ 0 ∙ share

read it
Principal components in linear mixed models with general bulk

We study the outlier eigenvalues and eigenvectors in variance components...
03/22/2019 ∙ by Zhou Fan, et al. ∙ 0 ∙ share

read it
Txilm: Lossy Block Compression with Salted Short Hashing

Current blockchains are restricted by the low throughput. Aimed at this ...
06/15/2019 ∙ by Donghui Ding, et al. ∙ 0 ∙ share

read it
Learning Fair Classifiers in Online Stochastic Settings

In many real life situations, including job and loan applications, gatek...
08/19/2019 ∙ by Yi Sun, et al. ∙ 0 ∙ share

read it
Multi-objective Ranking via Constrained Optimization

In this paper, we introduce an Augmented Lagrangian based method to inco...
02/13/2020 ∙ by Michinari Momma, et al. ∙ 0 ∙ share

read it
Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model

We study the non-convex optimization landscape for maximum likelihood es...
03/31/2020 ∙ by Zhou Fan, et al. ∙ 0 ∙ share

read it

Yi Sun

Featured Co-authors

Xiaogang Wang

Hao Wang

Xiaoou Tang

Jürgen Schmidhuber

Juergen Schmidhuber

Jan Egger

Jing Wang

Yihong Wu

Tommi S. Jaakkola

Daan Wierstra

Tom Schaul

Limited Gradient Descent: Learning With Noisy Labels

Transfer of Adversarial Robustness Between Perturbation Types

Line as object: datasets and framework for semantic line segment detection

Learning Vine Copula Models For Synthetic Data Generation

Testing Robustness Against Unforeseen Adversaries

On the Size of the Online Kernel Sparsification Dictionary

From random walks to distances on unweighted graphs

Metric recovery from directed unweighted graphs

Efficient Natural Evolution Strategies

Sparsifying Neural Network Connections for Face Recognition

A Linear Time Natural Evolution Strategy for Non-Separable Functions

DeepID3: Face Recognition with Very Deep Neural Networks

Deeply learned face representations are sparse, selective, and robust

Natural Evolution Strategies

Deep Learning Face Representation by Joint Identification-Verification

Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments

Development of a computer-aided design software for dental splint in orthognathic surgery

Spiked covariances and principal components analysis in high-dimensional random effects models

An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails

Principal components in linear mixed models with general bulk

Txilm: Lossy Block Compression with Salted Short Hashing

Learning Fair Classifiers in Online Stochastic Settings

Multi-objective Ranking via Constrained Optimization

Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model