Index Catalog // Hyrax

Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

Creatore:: Desai, Saurabh Satish
Abstract:: Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
Resource Type:: Masters Thesis

A Distributed Scheme for Accelerating and Scaling PSPNet

Creatore:: Krishna, Ajay
Abstract:: Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
Resource Type:: Masters Thesis

Re-understanding Finite-State Representations of Recurrent Policy Networks

Creatore:: Danesh, Mohamad H.
Abstract:: We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
Resource Type:: Masters Thesis

A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

Creatore:: Emmott, Andrew F.
Abstract:: It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
Resource Type:: Masters Thesis

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Creatore:: Zhang, Liang
Abstract:: RNA structure prediction is a challenging problem, especially with pseudoknots. Recently, there has been a shift from the classical minimum free energy-based methods (MFE) to partition function-based ones that assemble structures based on base-pairing probabilities. Two typical examples of the latter group are the popular maximum expected accuracy (MEA) method...
Resource Type:: Masters Thesis

Long Wave Amplification in a Coral-Reef Lagoon

Creatore:: Bheeroo, Vivek Anand
Abstract:: A series of laboratory experiments were conducted to study the wave field in the inner lagoon excited by ‘long’ incident waves. Three cases were considered: Cases A, B and C presenting incident waves of wavelength with factors of 1, 2 and 2.5 times the width of the reef respectively. The...
Resource Type:: Masters Thesis

Assisting Sustainability Analysis of Forest Bioenergy Supply Chains using Mathematical Optimization

Creatore:: Sadeghi, Javad
Abstract:: Changes in the global climate and forest management practices have given rise to increasing numbers and severity of wildfires. More than five million acres burned in the United States in 2017, while in Canada 7.4 million acres burned. In particular, an increasing amount of dead woody biomass is a key...
Resource Type:: Masters Thesis

Event detection with forward-backward recurrent neural networks

Creatore:: Ghaeini, Mohammad Reza
Abstract:: Automatic event extraction from natural text is an important and challenging task for natural language understanding. Traditional event detection methods heavily rely on manually engineered rich features. Recent deep learning approaches alleviate this problem by automatic feature engineering. But such efforts, like tradition methods, have so far only focused on...
Resource Type:: Masters Thesis

An Investigation on Nanoscale-shape-mediated Coupling Between Temperature and Densification in Intense Pulsed Light Sintering of Silver Nanoparticles

Creatore:: Bansal, Shalu
Abstract:: In Intense Pulsed Light (IPL) sintering, pulsed large-area visible light from a xenon lamp is absorbed by nanoparticle films or patterns and converted to heat, resulting in rapid sintering of the nanoparticles. This work experimentally characterizes IPL sintering of silver nanoparticle films. A newly observed turning point in the evolution...
Resource Type:: Masters Thesis

Using Change Representations to Analyze Properties of Variational Software

Creatore:: Wang, Xiangyu
Abstract:: Appropriate representations of variational software simplify the analysis of their properties.This thesis proposes tailored representations of two kinds variational softwares: difference files of merge commits in Git and feature models. For the former, we use the Choice Edit Model, which is based on the choice calculus, to represent changes introduced...
Resource Type:: Masters Thesis

Hyrax

Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

A Distributed Scheme for Accelerating and Scaling PSPNet

Re-understanding Finite-State Representations of Recurrent Policy Networks

A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Long Wave Amplification in a Coral-Reef Lagoon

Assisting Sustainability Analysis of Forest Bioenergy Supply Chains using Mathematical Optimization

Event detection with forward-backward recurrent neural networks

An Investigation on Nanoscale-shape-mediated Coupling Between Temperature and Densification in Intense Pulsed Light Sintering of Silver Nanoparticles

Using Change Representations to Analyze Properties of Variational Software

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