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A Study on Self-Supervised Object Detection Pretraining
In this work, we study different approaches to self-supervised pretraining of object detection models. We first design a general …
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Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach
This paper focuses on a referring expression generation (REG) task in which the aim is to pick out an object in a complex visual scene. …
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Collusion Detection in Team-Based Multiplayer Games
In the context of competitive multiplayer games, collusion happens when two or more teams decide to collaborate towards a common goal, …
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Non-Volatile Memory Accelerated Posterior Estimation
Bayesian inference allows machine learning models to express uncertainty. Current machine learning models use only a single learnable …
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Substitutional Neural Image Compression
We describe Substitutional Neural Image Compression (SNIC), a general approach for enhancing any neural image compression model, that …
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Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge
We revisit the challenging problem of resolving prepositional-phrase (PP) attachment ambiguity. To date, proposed solutions are either …
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GymFG: A Framework with a Gym Interface for FlightGear
Over the past decades, progress in deployable autonomous flight systems has slowly stagnated. This is reflected in today’s …
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Block Switching: A Stochastic Approach for Deep Learning Security
Recent study of adversarial attacks has revealed the vulnerability of modern deep learning models. That is, subtly crafted …
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Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data
Many common sequential data sources, such as source code and natural language, have a natural tree-structured representation. These …
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Automated software vulnerability detection with machine learning
Thousands of security vulnerabilities are discovered in production software each year, either reported publicly to the Common …
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