Rutgers University

∙ New Brunswick , United States ∙ 0 followers

Rutgers, The State University of New Jersey, commonly referred to as Rutgers University, Rutgers, or RU, is a public research university in New Jersey.

Anomaly Detection with Density Estimation

We leverage recent breakthroughs in neural density estimation to propose...
01/14/2020 ∙ by Benjamin Nachman, et al. ∙ 94 ∙ share

read it
Embedding Compression with Isotropic Iterative Quantization

Continuous representation of words is a standard component in deep learn...
01/11/2020 ∙ by Siyu Liao, et al. ∙ 36 ∙ share

read it
Point Cloud Processing via Recurrent Set Encoding

We present a new permutation-invariant network for 3D point cloud proces...
11/25/2019 ∙ by Pengxiang Wu, et al. ∙ 34 ∙ share

read it
Learning a Self-inverse Network for Unpaired Bidirectional Image-to-image Translation

Recently image-to-image translation has attracted significant interests ...
09/09/2019 ∙ by Zengming Shen, et al. ∙ 33 ∙ share

read it
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images

In this paper, we study the novel problem of not only predicting ingredi...
09/26/2019 ∙ by Jiatong Li, et al. ∙ 33 ∙ share

read it
Deep Sparse Representation-based Classification

We present a transductive deep learning-based formulation for the sparse...
04/24/2019 ∙ by Mahdi Abavisani, et al. ∙ 22 ∙ share

read it
Object-Guided Instance Segmentation for Biological Images

Instance segmentation of biological images is essential for studying obj...
11/20/2019 ∙ by Jingru Yi, et al. ∙ 21 ∙ share

read it
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning

We investigate learning feature-to-feature translator networks by altern...
04/22/2019 ∙ by Yizhe Zhu, et al. ∙ 18 ∙ share

read it
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation

The one-to-one mapping is necessary for many bidirectional image-to-imag...
09/09/2019 ∙ by Zengming Shen, et al. ∙ 18 ∙ share

read it
Accelerating the Computation of UCB and Related Indices for Reinforcement Learning

In this paper we derive an efficient method for computing the indices as...
09/28/2019 ∙ by Wesley Cowan, et al. ∙ 17 ∙ share

read it
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data

Automatic segmentation of anatomical landmarks from ultrasound (US) play...
12/18/2019 ∙ by Jeya Maria Jose V., et al. ∙ 15 ∙ share

read it
ViewSynth: Learning Local Features from Depth using View Synthesis

We address the problem of jointly detecting keypoints and learning descr...
11/22/2019 ∙ by Jisan Mahmud, et al. ∙ 14 ∙ share

read it
ASSD: Attentive Single Shot Multibox Detector

This paper proposes a new deep neural network for object detection. The ...
09/27/2019 ∙ by Jingru Yi, et al. ∙ 12 ∙ share

read it
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator

Deep neural networks (DNNs) are vulnerable to adversarial attack despite...
12/16/2019 ∙ by Huy Phan, et al. ∙ 10 ∙ share

read it
Simulation Assisted Likelihood-free Anomaly Detection

Given the lack of evidence for new particle discoveries at the Large Had...
01/14/2020 ∙ by Anders Andreassen, et al. ∙ 10 ∙ share

read it
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

The large domain discrepancy between faces captured in polarimetric (or ...
12/12/2018 ∙ by He Zhang, et al. ∙ 8 ∙ share

read it
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

The paper presents Imbalance-XGBoost, a Python package that combines the...
08/05/2019 ∙ by Chen Wang, et al. ∙ 7 ∙ share

read it
Rethinking Kernel Methods for Node Representation Learning on Graphs

Graph kernels are kernel methods measuring graph similarity and serve as...
10/06/2019 ∙ by Yu Tian, et al. ∙ 7 ∙ share

read it
Neural Multisensory Scene Inference

For embodied agents to infer representations of the underlying 3D physic...
10/06/2019 ∙ by Jae Hyun Lim, et al. ∙ 7 ∙ share

read it
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects

This paper introduces key machine learning operations that allow the rea...
10/11/2019 ∙ by Chaitanya Mitash, et al. ∙ 7 ∙ share

read it
Stable Matrix Completion using Properly Configured Kronecker Product Decomposition

Matrix completion problems are the problems of recovering missing entrie...
11/26/2019 ∙ by Chencheng Cai, et al. ∙ 7 ∙ share

read it
Disconnected Manifold Learning for Generative Adversarial Networks

Real images often lie on a union of disjoint manifolds rather than one g...
06/03/2018 ∙ by Mahyar Khayatkhoei, et al. ∙ 6 ∙ share

read it
Polarimetric Thermal to Visible Face Verification via Attribute Preserved Synthesis

Thermal to visible face verification is a challenging problem due to the...
01/03/2019 ∙ by Xing Di, et al. ∙ 6 ∙ share

read it
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning

Zero-shot learning extends the conventional object classification to the...
03/01/2019 ∙ by Yizhe Zhu, et al. ∙ 6 ∙ share

read it
Deep Transfer Learning for Multiple Class Novelty Detection

We propose a transfer learning-based solution for the problem of multipl...
03/06/2019 ∙ by Pramuditha Perera, et al. ∙ 6 ∙ share

read it
Semantic Graph Convolutional Networks for 3D Human Pose Regression

In this paper, we study the problem of learning Graph Convolutional Netw...
04/06/2019 ∙ by Long Zhao, et al. ∙ 6 ∙ share

read it
Generating Animations from Screenplays

Automatically generating animation from natural language text finds appl...
04/10/2019 ∙ by Yeyao Zhang, et al. ∙ 6 ∙ share

read it
Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking

In this paper, we propose a generative framework that unifies depth-base...
05/06/2019 ∙ by Lu Sheng, et al. ∙ 6 ∙ share

read it
BRIDGE: Byzantine-resilient Decentralized Gradient Descent

Decentralized optimization techniques are increasingly being used to lea...
08/21/2019 ∙ by Zhixiong Yang, et al. ∙ 5 ∙ share

read it
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise

Stochastic gradient descent with momentum (SGDm) is one of the most popu...
02/13/2020 ∙ by Umut Şimşekli, et al. ∙ 5 ∙ share

read it
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

We consider the problem of image-to-video translation, where an input im...
07/26/2018 ∙ by Long Zhao, et al. ∙ 4 ∙ share

read it
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach

In unsupervised domain adaptation, it is widely known that the target do...
02/23/2019 ∙ by Minyoung Kim, et al. ∙ 4 ∙ share

read it
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms

This work addresses the problem of learning sparse representations of te...
03/22/2019 ∙ by Mohsen Ghassemi, et al. ∙ 4 ∙ share

read it
Efficient Deep Gaussian Process Models for Variable-Sized Input

Deep Gaussian processes (DGP) have appealing Bayesian properties, can ha...
05/16/2019 ∙ by Issam H. Laradji, et al. ∙ 4 ∙ share

read it
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT

Internet-of-Things (IoT) devices that are limited in power and processin...
08/01/2019 ∙ by Alireza Nooraiepour, et al. ∙ 4 ∙ share

read it
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

Random data augmentation is a critical technique to avoid overfitting in...
05/24/2018 ∙ by Xi Peng, et al. ∙ 2 ∙ share

read it
Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data

For the initial shoulder preoperative diagnosis, it is essential to obta...
02/22/2019 ∙ by Xiaoxiao He, et al. ∙ 2 ∙ share

read it
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos

While there is still a lot to learn about astrocytes and their neuromodu...
07/02/2019 ∙ by Guangzhi Tang, et al. ∙ 1 ∙ share

read it
2nd Place Solution to the GQA Challenge 2019

We present a simple method that achieves unexpectedly superior performan...
07/16/2019 ∙ by Shijie Geng, et al. ∙ 1 ∙ share

read it
Visual Tracking via Reliable Memories

In this paper, we propose a novel visual tracking framework that intelli...
02/04/2016 ∙ by Shu Wang, et al. ∙ 0 ∙ share

read it
Keyless authentication in the presence of a simultaneously transmitting adversary

If Alice must communicate with Bob over a channel shared with the advers...
09/29/2016 ∙ by Eric Graves, et al. ∙ 0 ∙ share

read it
Managing Price Uncertainty in Prosumer-Centric Energy Trading: A Prospect-Theoretic Stackelberg Game Approach

In this paper, the problem of energy trading between smart grid prosumer...
09/18/2017 ∙ by Georges El Rahi, et al. ∙ 0 ∙ share

read it
A Graph-based Model for GPU Caching Problems

Modeling data sharing in GPU programs is a challenging task because of t...
05/06/2016 ∙ by Lingda Li, et al. ∙ 0 ∙ share

read it
On the variance of subset sum estimation

For high volume data streams and large data warehouses, sampling is used...
02/05/2007 ∙ by Mario Szegedy, et al. ∙ 0 ∙ share

read it
The Garden Hose Complexity for the Equality Function

The garden hose complexity is a new communication complexity introduced ...
12/27/2013 ∙ by Well Y. Chiu, et al. ∙ 0 ∙ share

read it
Asymmetric Minwise Hashing

Minwise hashing (Minhash) is a widely popular indexing scheme in practic...
11/14/2014 ∙ by Anshumali Shrivastava, et al. ∙ 0 ∙ share

read it
Recruitment Market Trend Analysis with Sequential Latent Variable Models

Recruitment market analysis provides valuable understanding of industry-...
12/08/2017 ∙ by Chen Zhu, et al. ∙ 0 ∙ share

read it
Interactive Reinforcement Learning for Object Grounding via Self-Talking

Humans are able to identify a referred visual object in a complex scene ...
12/02/2017 ∙ by Yan Zhu, et al. ∙ 0 ∙ share

read it
Stochastic Low-Rank Bandits

Many problems in computer vision and recommender systems involve low-ran...
12/13/2017 ∙ by Branislav Kveton, et al. ∙ 0 ∙ share

read it
Identifiability of Kronecker-structured Dictionaries for Tensor Data

This paper derives sufficient conditions for reliable recovery of coordi...
12/10/2017 ∙ by Zahra Shakeri, et al. ∙ 0 ∙ share

read it

Rutgers University

Featured Researchers