University of California, Irvine

∙ Irvine , United States ∙ 0 followers

Top Stories Resources for the Media Press Releases Media Advisories News Briefs Visiting Campus Contact Us Curated Images B-Roll Film & Photography Permit Application Film Location Agreement School & Department News Arts Biological Sciences Business Education Engineering Huma

Featured Researchers

Wei Chen
168 publications
Max Welling
131 publications
Qiang Liu
105 publications
Anima Anandkumar
102 publications
Zhe Wang
88 publications
Yi Li
77 publications
Long Chen
72 publications
Yang Feng
67 publications
Hao Tang
63 publications
Deva Ramanan
59 publications
Cheng Zhang
59 publications

Sherpa: Robust Hyperparameter Optimization for Machine Learning

Sherpa is a hyperparameter optimization library for machine learning mod...
05/08/2020 ∙ by Lars Hertel, et al. ∙ 111 ∙ share

read it
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting

We study epidemic forecasting on real-world health data by a graph-struc...
02/13/2019 ∙ by Zhijian Li, et al. ∙ 26 ∙ share

read it
Probabilistic Kernel Support Vector Machines

We propose a probabilistic enhancement of standard kernel Support Vecto...
04/14/2019 ∙ by Yongxin Chen, et al. ∙ 24 ∙ share

read it
Learning from Learning Machines: Optimisation, Rules, and Social Norms

There is an analogy between machine learning systems and economic entiti...
12/29/2019 ∙ by Travis LaCroix, et al. ∙ 24 ∙ share

read it
Obtaining Faithful Interpretations from Compositional Neural Networks

Neural module networks (NMNs) are a popular approach for modeling compos...
05/02/2020 ∙ by Sanjay Subramanian, et al. ∙ 22 ∙ share

read it
Extreme Classification via Adversarial Softmax Approximation

Training a classifier over a large number of classes, known as 'extreme ...
02/15/2020 ∙ by Robert Bamler, et al. ∙ 20 ∙ share

read it
Tightening Bounds for Variational Inference by Revisiting Perturbation Theory

Variational inference has become one of the most widely used methods in ...
09/30/2019 ∙ by Robert Bamler, et al. ∙ 19 ∙ share

read it
Improving Inference for Neural Image Compression

We consider the problem of lossy image compression with deep latent vari...
06/07/2020 ∙ by Yibo Yang, et al. ∙ 19 ∙ share

read it
Image Augmentations for GAN Training

Data augmentations have been widely studied to improve the accuracy and ...
06/04/2020 ∙ by Zhengli Zhao, et al. ∙ 18 ∙ share

read it
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness

We introduce SPLASH units, a class of learnable activation functions sho...
06/16/2020 ∙ by Mohammadamin Tavakoli, et al. ∙ 17 ∙ share

read it
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning

Reinforcement learning algorithms can show strong variation in performan...
07/29/2020 ∙ by Lars Hertel, et al. ∙ 16 ∙ share

read it
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation

Robots and self-driving vehicles face a number of challenges when naviga...
09/14/2019 ∙ by Jinwei Xing, et al. ∙ 13 ∙ share

read it
Image Reconstruction with Predictive Filter Flow

We propose a simple, interpretable framework for solving a wide range of...
11/28/2018 ∙ by Shu Kong, et al. ∙ 12 ∙ share

read it
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation

Leveraging synthetically rendered data offers great potential to improve...
02/27/2020 ∙ by Yunhan Zhao, et al. ∙ 12 ∙ share

read it
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets

Deep neural nets (DNNs) compression is crucial for adaptation to mobile ...
03/02/2020 ∙ by Thu Dinh, et al. ∙ 12 ∙ share

read it
Multi-View Collaborative Network Embedding

Real-world networks often exist with multiple views, where each view des...
05/17/2020 ∙ by Sezin Kircali Ata, et al. ∙ 12 ∙ share

read it
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving

In Autonomous Vehicles (AVs), one fundamental pillar is perception, whic...
07/16/2019 ∙ by Yulong Cao, et al. ∙ 11 ∙ share

read it
Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling

Localizing thoracic diseases on chest X-ray plays a critical role in cli...
05/29/2020 ∙ by Wenwu Ye, et al. ∙ 11 ∙ share

read it
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

Radiation therapy (RT) is a common treatment for head and neck (HaN) can...
08/15/2018 ∙ by Wentao Zhu, et al. ∙ 10 ∙ share

read it
Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency

As deep reinforcement learning (RL) is applied to more tasks, there is a...
12/23/2019 ∙ by Piyush Gupta, et al. ∙ 10 ∙ share

read it
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks

The edge computing paradigm places compute-capable devices - edge server...
07/31/2020 ∙ by Yoshitomo Matsubara, et al. ∙ 10 ∙ share

read it
Active Bayesian Assessment for Black-Box Classifiers

Recent advances in machine learning have led to increased deployment of ...
02/16/2020 ∙ by Disi Ji, et al. ∙ 9 ∙ share

read it
Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation

Monocular estimation of 3d human pose has attracted increased attention ...
04/07/2020 ∙ by Zhe Wang, et al. ∙ 9 ∙ share

read it
Split Computing for Complex Object Detectors: Challenges and Preliminary Results

Following the trends of mobile and edge computing for DNN models, an int...
07/27/2020 ∙ by Yoshitomo Matsubara, et al. ∙ 8 ∙ share

read it
Memory capacity of neural networks with threshold and ReLU activations

Overwhelming theoretical and empirical evidence shows that mildly overpa...
01/20/2020 ∙ by Roman Vershynin, et al. ∙ 7 ∙ share

read it
Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes

Dynamic scenes that contain both object motion and egomotion are a chall...
03/09/2019 ∙ by Hirak J Kashyap, et al. ∙ 6 ∙ share

read it
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Training activation quantized neural networks involves minimizing a piec...
03/13/2019 ∙ by Penghang Yin, et al. ∙ 6 ∙ share

read it
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications

Representing entities and relations in an embedding space is a well-stud...
05/02/2019 ∙ by Pouya Pezeshkpour, et al. ∙ 6 ∙ share

read it
Bounding the Complexity of Formally Verifying Neural Networks: A Geometric Approach

In this paper, we consider the computational complexity of formally veri...
12/22/2020 ∙ by James Ferlez, et al. ∙ 4 ∙ share

read it
Curiosity-Driven Multi-Criteria Hindsight Experience Replay

Dealing with sparse rewards is a longstanding challenge in reinforcement...
06/09/2019 ∙ by John B. Lanier, et al. ∙ 3 ∙ share

read it
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts

We develop new representations and algorithms for three-dimensional (3D)...
06/11/2019 ∙ by Zhile Ren, et al. ∙ 3 ∙ share

read it
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks

Quantized deep neural networks (QDNNs) are attractive due to their much ...
08/15/2018 ∙ by Penghang Yin, et al. ∙ 2 ∙ share

read it
Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking

Echocardiography has become routinely used in the diagnosis of cardiomyo...
06/18/2019 ∙ by Wentao Zhu, et al. ∙ 2 ∙ share

read it
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network

We present PyCARL, a PyNN-based common Python programming interface for ...
03/21/2020 ∙ by Adarsha Balaji, et al. ∙ 1 ∙ share

read it
Continuous Representation of Molecules Using Graph Variational Autoencoder

In order to continuously represent molecules, we propose a generative mo...
04/17/2020 ∙ by Mohammadamin Tavakoli, et al. ∙ 1 ∙ share

read it
Universal halting times in optimization and machine learning

The authors present empirical distributions for the halting time (measur...
11/19/2015 ∙ by Levent Sagun, et al. ∙ 0 ∙ share

read it
DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification

In this work, we present a fully automated lung CT cancer diagnosis syst...
09/16/2017 ∙ by Wentao Zhu, et al. ∙ 0 ∙ share

read it
Square-Contact Representations of Partial 2-Trees and Triconnected Simply-Nested Graphs

A square-contact representation of a planar graph G=(V,E) maps vertices ...
10/01/2017 ∙ by Giordano Da Lozzo, et al. ∙ 0 ∙ share

read it
Weakly Supervised Action Localization by Sparse Temporal Pooling Network

We propose a weakly supervised temporal action localization algorithm on...
12/14/2017 ∙ by Phuc Nguyen, et al. ∙ 0 ∙ share

read it
Improving Malware Detection Accuracy by Extracting Icon Information

Detecting PE malware files is now commonly approached using statistical ...
12/10/2017 ∙ by Pedro Silva, et al. ∙ 0 ∙ share

read it
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms

Mass segmentation provides effective morphological features which are im...
10/24/2017 ∙ by Wentao Zhu, et al. ∙ 0 ∙ share

read it
Mondrian Processes for Flow Cytometry Analysis

Analysis of flow cytometry data is an essential tool for clinical diagno...
11/21/2017 ∙ by Disi Ji, et al. ∙ 0 ∙ share

read it
Generating Natural Adversarial Examples

Due to their complex nature, it is hard to characterize the ways in whic...
10/31/2017 ∙ by Zhengli Zhao, et al. ∙ 0 ∙ share

read it
Learning Infinite RBMs with Frank-Wolfe

In this work, we propose an infinite restricted Boltzmann machine (RBM),...
10/15/2017 ∙ by Wei Ping, et al. ∙ 0 ∙ share

read it
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification

Mammogram classification is directly related to computer-aided diagnosis...
05/23/2017 ∙ by Wentao Zhu, et al. ∙ 0 ∙ share

read it
Information Design in Crowdfunding under Thresholding Policies

In crowdfunding, an entrepreneur often has to decide how to disclose the...
09/12/2017 ∙ by Wen Shen, et al. ∙ 0 ∙ share

read it
Regulating Highly Automated Robot Ecologies: Insights from Three User Studies

Highly automated robot ecologies (HARE), or societies of independent aut...
08/07/2017 ∙ by Wen Shen, et al. ∙ 0 ∙ share

read it
A Self-Driving Robot Using Deep Convolutional Neural Networks on Neuromorphic Hardware

Neuromorphic computing is a promising solution for reducing the size, we...
11/04/2016 ∙ by Tiffany Hwu, et al. ∙ 0 ∙ share

read it
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks

Many real world systems need to operate on heterogeneous information net...
07/25/2017 ∙ by Parisa Kordjamshidi, et al. ∙ 0 ∙ share

read it
Energy-Based Spherical Sparse Coding

In this paper, we explore an efficient variant of convolutional sparse c...
10/04/2017 ∙ by Bailey Kong, et al. ∙ 0 ∙ share

read it