Rensselaer Polytechnic Institute

research

∙ 11/18/2019

Towards Visually Explaining Variational Autoencoders

Recent advances in Convolutional Neural Network (CNN) model interpretabi...

Wenqian Liu, et al. ∙

research

∙ 06/03/2020

Self-supervised Training of Graph Convolutional Networks

Graph Convolutional Networks (GCNs) have been successfully applied to an...

Qikui Zhu, et al. ∙

research

∙ 07/12/2022

Regression Metric Loss: Learning a Semantic Representation Space for Medical Images

Regression plays an essential role in many medical imaging applications ...

Hanqing Chao, et al. ∙

research

∙ 12/22/2020

Hybrid Federated Learning: Algorithms and Implementation

Federated learning (FL) is a recently proposed distributed machine learn...

Xinwei Zhang, et al. ∙

research

∙ 12/20/2019

Chart Auto-Encoders for Manifold Structured Data

Auto-encoding and generative models have made tremendous successes in im...

Stefan Schonsheck, et al. ∙

research

∙ 01/01/2020

Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction

This paper presents a unified training strategy that enables a novel mul...

Xi Fang, et al. ∙

research

∙ 07/27/2020

Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships

We investigate methods of microstructure representation for the purpose ...

Wufei Ma, et al. ∙

research

∙ 10/12/2021

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks

The lottery ticket hypothesis (LTH) states that learning on a properly p...

Shuai Zhang, et al. ∙

research

∙ 11/13/2019

Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data

X-ray computed tomography (CT) is widely used in clinical practice. The ...

Huidong Xie, et al. ∙

research

∙ 06/23/2020

A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm

Out of the recent advances in systems and control (S&C)-based analysis o...

Orlando Romero, et al. ∙

research

∙ 12/09/2019

Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data

Breast CT provides image volumes with isotropic resolution in high contr...

Huidong Xie, et al. ∙

research

∙ 04/05/2022

Federated Cross Learning for Medical Image Segmentation

Federated learning (FL) can collaboratively train deep learning models u...

Xuanang Xu, et al. ∙

research

∙ 02/06/2020

Duality of Width and Depth of Neural Networks

Here, we report that the depth and the width of a neural network are dua...

Fenglei-Lei Fan, et al. ∙

research

∙ 03/26/2022

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

Question answering (QA) is a fundamental means to facilitate assessment ...

Ying Xu, et al. ∙

research

∙ 05/23/2020

Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE

For non-Euclidean data such as meshes of humans, a prominent task for ge...

N. Joseph Tatro, et al. ∙

research

∙ 04/30/2022

Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection

Early detection of lung nodules with computed tomography (CT) is critica...

Chuang Niu, et al. ∙

research

∙ 02/20/2020

Adaptive Temporal Difference Learning with Linear Function Approximation

This paper revisits the celebrated temporal difference (TD) learning alg...

Tao Sun, et al. ∙

research

∙ 10/26/2021

CAFE: Catastrophic Data Leakage in Vertical Federated Learning

Recent studies show that private training data can be leaked through the...

Xiao Jin, et al. ∙

research

∙ 07/10/2022

Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation

We present a self-supervised learning (SSL) method suitable for semi-glo...

Ashraful Islam, et al. ∙

research

∙ 05/02/2019

Truth Discovery via Proxy Voting

Truth discovery is a general name for a broad range of statistical metho...

Reshef Meir, et al. ∙

research

∙ 08/15/2020

Reinforcement Learning with Quantum Variational Circuits

The development of quantum computational techniques has advanced greatly...

Owen Lockwood, et al. ∙

research

∙ 08/07/2021

Edge-augmented Graph Transformers: Global Self-attention is Enough for Graphs

Transformer neural networks have achieved state-of-the-art results for u...

Md. Shamim Hussain, et al. ∙

research

∙ 05/20/2022

Learning Geometrically Disentangled Representations of Protein Folding Simulations

Massive molecular simulations of drug-target proteins have been used as ...

N. Joseph Tatro, et al. ∙

research

∙ 07/31/2020

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

When the training data are maliciously tampered, the predictions of the ...

Ren Wang, et al. ∙

research

∙ 07/09/2021

Cross-modal Attention for MRI and Ultrasound Volume Registration

Prostate cancer biopsy benefits from accurate fusion of transrectal ultr...

Xinrui Song, et al. ∙

research

∙ 04/16/2022

TVShowGuess: Character Comprehension in Stories as Speaker Guessing

We propose a new task for assessing machines' skills of understanding fi...

Yisi Sang, et al. ∙

research

∙ 07/19/2022

Decorrelative Network Architecture for Robust Electrocardiogram Classification

Artificial intelligence has made great progresses in medical data analys...

Christopher Wiedeman, et al. ∙

research

∙ 11/08/2018

Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?

Commercial iterative reconstruction techniques on modern CT scanners tar...

Hongming Shan, et al. ∙

research

∙ 02/21/2019

Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

Accurate segmentation of the prostate from magnetic resonance (MR) image...

Qikui Zhu, et al. ∙

research

∙ 09/15/2021

Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding

Code understanding is an increasingly important application of Artificia...

Ibrahim Abdelaziz, et al. ∙

research

∙ 02/02/2022

Auto-Transfer: Learning to Route Transferrable Representations

Knowledge transfer between heterogeneous source and target networks and ...

Keerthiram Murugesan, et al. ∙

research

∙ 07/24/2022

FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction

The presence of high-density objects such as metal implants and dental f...

Zilong Li, et al. ∙

research

∙ 06/13/2019

An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction

Micrograph quantification is an essential component of several materials...

Elizabeth Kautz, et al. ∙

research

∙ 11/26/2019

Multi-person Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads

In this paper, we present a multi-user interaction interface for a large...

Gyanendra Sharma, et al. ∙

research

∙ 06/13/2022

Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC)

Self-supervised representation learning maps high-dimensional data into ...

Chuang Niu, et al. ∙

research

∙ 06/14/2022

Federated Multi-organ Segmentation with Partially Labeled Data

Federated learning is an emerging paradigm allowing large-scale decentra...

Xuanang Xu, et al. ∙

research

∙ 06/13/2020

Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning

Transrectal ultrasound (US) is the most commonly used imaging modality t...

Hengtao Guo, et al. ∙

research

∙ 07/14/2021

End-to-end Ultrasound Frame to Volume Registration

Fusing intra-operative 2D transrectal ultrasound (TRUS) image with pre-o...

Hengtao Guo, et al. ∙

research

∙ 11/16/2021

Phase function estimation from a diffuse optical image via deep learning

The phase function is a key element of a light propagation model for Mon...

Yuxuan Liang, et al. ∙

research

∙ 12/07/2021

Ground-Truth, Whose Truth? – Examining the Challenges with Annotating Toxic Text Datasets

The use of machine learning (ML)-based language models (LMs) to monitor ...

Kofi Arhin, et al. ∙

research

∙ 05/10/2022

ConfLab: A Rich Multimodal Multisensor Dataset of Free-Standing Social Interactions in the Wild

Recording the dynamics of unscripted human interactions in the wild is c...

Chirag Raman, et al. ∙

research

∙ 07/31/2018

Universal Approximation with Quadratic Deep Networks

Recently, deep learning has been playing a central role in machine learn...

Fenglei Fan, et al. ∙

research

∙ 08/30/2018

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator

For node level graph encoding, a recent important state-of-art method is...

Zhiqian Chen, et al. ∙

research

∙ 09/19/2018

Nonisometric Surface Registration via Conformal Laplace-Beltrami Basis Pursuit

Surface registration is one of the most fundamental problems in geometry...

Stefan C. Schonsheck, et al. ∙

research

∙ 02/20/2019

Knowledge-based Analysis for Mortality Prediction from CT Images

Recent studies have highlighted the high correlation between cardiovascu...

Hengtao Guo, et al. ∙

research

∙ 04/10/2019

A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages

Unsupervised part of speech (POS) tagging is often framed as a clusterin...

Ronald Cardenas, et al. ∙

research

∙ 03/22/2021

Complementary Evidence Identification in Open-Domain Question Answering

This paper proposes a new problem of complementary evidence identificati...

Xiangyang Mou, et al. ∙

research

∙ 11/14/2021

Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination

This paper investigates the problem of best arm identification in contam...

Arpan Mukherjee, et al. ∙

research

∙ 01/21/2022

How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis

Self-training, a semi-supervised learning algorithm, leverages a large a...

Shuai Zhang, et al. ∙

research

∙ 08/12/2021

Automatic Gaze Analysis: A Survey of DeepLearning based Approaches

Eye gaze analysis is an important research problem in the field of compu...

Shreya Ghosh, et al. ∙

Rensselaer Polytechnic Institute

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