
ElasticInfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data
We propose a novel unsupervised generative model, ElasticInfoGAN, that ...
10/01/2019 ∙ by Utkarsh Ojha, et al. ∙ 44 ∙ shareread it

LargeBatch Training for LSTM and Beyond
Largebatch training approaches have enabled researchers to utilize larg...
01/24/2019 ∙ by Yang You, et al. ∙ 22 ∙ shareread it

The Limitations of Adversarial Training and the BlindSpot Attack
The adversarial training procedure proposed by Madry et al. (2018) is on...
01/15/2019 ∙ by Huan Zhang, et al. ∙ 22 ∙ shareread it

Toward Finding The Global Optimal of Adversarial Examples
Current machine learning models are vulnerable to adversarial examples (...
09/10/2019 ∙ by Zhenxin Xiao, et al. ∙ 19 ∙ shareread it

Reducing BERT PreTraining Time from 3 Days to 76 Minutes
Largebatch training is key to speeding up deep neural network training ...
04/01/2019 ∙ by Yang You, et al. ∙ 18 ∙ shareread it

Learning to Learn by ZerothOrder Oracle
In the learning to learn (L2L) framework, we cast the design of optimiza...
10/21/2019 ∙ by Yangjun Ruan, et al. ∙ 18 ∙ shareread it

SignOPT: A QueryEfficient Hardlabel Adversarial Attack
We study the most practical problem setup for evaluating adversarial rob...
09/24/2019 ∙ by Minhao Cheng, et al. ∙ 17 ∙ shareread it

Stochastic Shared Embeddings: Datadriven Regularization of Embedding Layers
In deep neural nets, lower level embedding layers account for a large po...
05/25/2019 ∙ by Liwei Wu, et al. ∙ 12 ∙ shareread it

VisualBERT: A Simple and Performant Baseline for Vision and Language
We propose VisualBERT, a simple and flexible framework for modeling a br...
08/09/2019 ∙ by Liunian Harold Li, et al. ∙ 11 ∙ shareread it

Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
Neural Ordinary Differential Equation (Neural ODE) has been proposed as ...
06/05/2019 ∙ by Xuanqing Liu, et al. ∙ 9 ∙ shareread it

QueryEfficient Hardlabel Blackbox Attack:An Optimizationbased Approach
We study the problem of attacking a machine learning model in the hardl...
07/12/2018 ∙ by Minhao Cheng, et al. ∙ 8 ∙ shareread it

Efficient Neural Network Robustness Certification with General Activation Functions
Finding minimum distortion of adversarial examples and thus certifying r...
11/02/2018 ∙ by Huan Zhang, et al. ∙ 8 ∙ shareread it

AutoZOOM: Autoencoderbased Zeroth Order Optimization Method for Attacking Blackbox Neural Networks
Recent studies have shown that adversarial examples in stateoftheart ...
05/30/2018 ∙ by ChunChen Tu, et al. ∙ 6 ∙ shareread it

Temporal Collaborative Ranking Via Personalized Transformer
The collaborative ranking problem has been an important open research qu...
08/15/2019 ∙ by Liwei Wu, et al. ∙ 4 ∙ shareread it

MLLOO: Detecting Adversarial Examples with Feature Attribution
Deep neural networks obtain stateoftheart performance on a series of ...
06/08/2019 ∙ by Puyudi Yang, et al. ∙ 3 ∙ shareread it

Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks
Neural language models have been widely used in various NLP tasks, inclu...
10/29/2018 ∙ by Patrick H. Chen, et al. ∙ 2 ∙ shareread it

EAD: ElasticNet Attacks to Deep Neural Networks via Adversarial Examples
Recent studies have highlighted the vulnerability of deep neural network...
09/13/2017 ∙ by PinYu Chen, et al. ∙ 0 ∙ shareread it

ImageNet Training in Minutes
Finishing 90epoch ImageNet1k training with ResNet50 on a NVIDIA M40 G...
09/14/2017 ∙ by Yang You, et al. ∙ 0 ∙ shareread it

ZOO: Zeroth Order Optimization based Blackbox Attacks to Deep Neural Networks without Training Substitute Models
Deep neural networks (DNNs) are one of the most prominent technologies o...
08/14/2017 ∙ by PinYu Chen, et al. ∙ 0 ∙ shareread it

GPUacceleration for Largescale Tree Boosting
In this paper, we present a novel massively parallel algorithm for accel...
06/26/2017 ∙ by Huan Zhang, et al. ∙ 0 ∙ shareread it

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Most distributed machine learning systems nowadays, including TensorFlow...
05/25/2017 ∙ by Xiangru Lian, et al. ∙ 0 ∙ shareread it

ShowandFool: Crafting Adversarial Examples for Neural Image Captioning
Modern neural image captioning systems typically adopt the encoderdecod...
12/06/2017 ∙ by Hongge Chen, et al. ∙ 0 ∙ shareread it

PU Learning for Matrix Completion
In this paper, we consider the matrix completion problem when the observ...
11/22/2014 ∙ by ChoJui Hsieh, et al. ∙ 0 ∙ shareread it

Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
The L1regularized Gaussian maximum likelihood estimator (MLE) has been ...
06/13/2013 ∙ by ChoJui Hsieh, et al. ∙ 0 ∙ shareread it

Towards Robust Neural Networks via Random Selfensemble
Recent studies have revealed the vulnerability of deep neural networks ...
12/02/2017 ∙ by Xuanqing Liu, et al. ∙ 0 ∙ shareread it

History PCA: A New Algorithm for Streaming PCA
In this paper we propose a new algorithm for streaming principal compone...
02/15/2018 ∙ by Puyudi Yang, et al. ∙ 0 ∙ shareread it

Seq2Sick: Evaluating the Robustness of SequencetoSequence Models with Adversarial Examples
Crafting adversarial examples has become an important technique to evalu...
03/03/2018 ∙ by Minhao Cheng, et al. ∙ 0 ∙ shareread it

Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
The robustness of neural networks to adversarial examples has received g...
01/31/2018 ∙ by TsuiWei Weng, et al. ∙ 0 ∙ shareread it

Graphic displays of MLB pitching mechanics and its evolutions in PITCHf/x data
Systemic and idiosyncratic patterns in pitching mechanics of 24 top star...
01/27/2018 ∙ by Fushing Hsieh, et al. ∙ 0 ∙ shareread it

LearningWord Embeddings for Lowresource Languages by PU Learning
Word embedding is a key component in many downstream applications in pro...
05/09/2018 ∙ by Chao Jiang, et al. ∙ 0 ∙ shareread it

Towards Fast Computation of Certified Robustness for ReLU Networks
Verifying the robustness property of a general Rectified Linear Unit (Re...
04/25/2018 ∙ by TsuiWei Weng, et al. ∙ 0 ∙ shareread it

Stochastic Zerothorder Optimization via Variance Reduction method
Derivativefree optimization has become an important technique used in m...
05/30/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ shareread it

SQLRank: A Listwise Approach to Collaborative Ranking
In this paper, we propose a listwise approach for constructing userspec...
02/28/2018 ∙ by Liwei Wu, et al. ∙ 0 ∙ shareread it

Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems
We propose two new methods to address the weak scaling problems of KRR: ...
05/01/2018 ∙ by Yang You, et al. ∙ 0 ∙ shareread it

An inexact subsampled proximal Newtontype method for largescale machine learning
We propose a fast proximal Newtontype algorithm for minimizing regulari...
08/28/2017 ∙ by Xuanqing Liu, et al. ∙ 0 ∙ shareread it

Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
We present a probabilistic framework for studying adversarial attacks on...
05/31/2018 ∙ by Puyudi Yang, et al. ∙ 0 ∙ shareread it

GroupReduce: BlockWise LowRank Approximation for Neural Language Model Shrinking
Model compression is essential for serving large deep neural nets on dev...
06/18/2018 ∙ by Patrick H. Chen, et al. ∙ 0 ∙ shareread it

From Adversarial Training to Generative Adversarial Networks
In this paper, we are interested in two seemingly different concepts: ad...
07/27/2018 ∙ by Xuanqing Liu, et al. ∙ 0 ∙ shareread it

Fast Variance Reduction Method with Stochastic Batch Size
In this paper we study a family of variance reduction methods with rando...
08/07/2018 ∙ by Xuanqing Liu, et al. ∙ 0 ∙ shareread it

Stochastically Controlled Stochastic Gradient for the Convex and Nonconvex Composition problem
In this paper, we consider the convex and nonconvex composition problem...
09/06/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ shareread it

Stochastic Secondorder Methods for Nonconvex Optimization with Inexact Hessian and Gradient
Trust region and cubic regularization methods have demonstrated good per...
09/26/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ shareread it

Attack Graph Convolutional Networks by Adding Fake Nodes
Graph convolutional networks (GCNs) have been widely used for classifyin...
10/25/2018 ∙ by Xiaoyun Wang, et al. ∙ 0 ∙ shareread it

RedSync : Reducing Synchronization Traffic for Distributed Deep Learning
Data parallelism has already become a dominant method to scale Deep Neur...
08/13/2018 ∙ by Jiarui Fang, et al. ∙ 0 ∙ shareread it

Blockwise Partitioning for Extreme Multilabel Classification
Extreme multilabel classification aims to learn a classifier that annot...
11/04/2018 ∙ by Yuefeng Liang, et al. ∙ 0 ∙ shareread it

RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications
The Jacobian matrix (or the gradient for singleoutput networks) is dire...
10/28/2018 ∙ by Huan Zhang, et al. ∙ 0 ∙ shareread it

AdvBNN: Improved Adversarial Defense through Robust Bayesian Neural Network
We present a new algorithm to train a robust neural network against adve...
10/01/2018 ∙ by Xuanqing Liu, et al. ∙ 0 ∙ shareread it

Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding
Recent studies have demonstrated the vulnerability of deep convolutional...
11/19/2018 ∙ by Yao Li, et al. ∙ 0 ∙ shareread it

On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm
CLEVER (CrossLipschitz Extreme Value for nEtwork Robustness) is an Extr...
10/19/2018 ∙ by TsuiWei Weng, et al. ∙ 0 ∙ shareread it

A Convex Relaxation Barrier to Tight Robust Verification of Neural Networks
Verification of neural networks enables us to gauge their robustness aga...
02/23/2019 ∙ by Hadi Salman, et al. ∙ 0 ∙ shareread it

Robust Decision Trees Against Adversarial Examples
Although adversarial examples and model robustness have been extensively...
02/27/2019 ∙ by Hongge Chen, et al. ∙ 0 ∙ shareread it
ChoJui Hsieh
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Assistant professor of Computer Science and Statistics at UC Davis