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08/13/2023
Generalizing Topological Graph Neural Networks with Paths
While Graph Neural Networks (GNNs) have made significant strides in dive...
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08/03/2023
On the Transition from Neural Representation to Symbolic Knowledge
Bridging the huge disparity between neural and symbolic representation c...
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02/10/2023
Adversarial Transformer Language Models for Contextual Commonsense Inference
Contextualized or discourse aware commonsense inference is the task of g...
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12/05/2022
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations
In recent years, deep-learning-based approaches have been introduced to ...
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09/28/2022
A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks
Persistence diagrams (PDs), often characterized as sets of death and bir...
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07/09/2022
A Study on Self-Supervised Object Detection Pretraining
In this work, we study different approaches to self-supervised pretraini...
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03/10/2022
Collusion Detection in Team-Based Multiplayer Games
In the context of competitive multiplayer games, collusion happens when ...
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02/21/2022
Non-Volatile Memory Accelerated Posterior Estimation
Bayesian inference allows machine learning models to express uncertainty...
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02/21/2022
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis
Dimensionality reduction algorithms are standard tools in a researcher's...
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01/05/2022
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness
Although deep neural networks have achieved great performance on classif...
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12/08/2021
Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features
Unsupervised Zero-Shot Voice Conversion (VC) aims to modify the speaker ...
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10/31/2021
Revealing and Protecting Labels in Distributed Training
Distributed learning paradigms such as federated learning often involve ...
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10/19/2021
What is Learned in Knowledge Graph Embeddings?
A knowledge graph (KG) is a data structure which represents entities and...
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08/30/2021
RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations
Retrofitting is a technique used to move word vectors closer together or...
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05/16/2021
Substitutional Neural Image Compression
We describe Substitutional Neural Image Compression (SNIC), a general ap...
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04/15/2021
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
End-to-end Automatic Speech Recognition (ASR) models are commonly traine...
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02/01/2021
Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge
We revisit the challenging problem of resolving prepositional-phrase (PP...
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04/26/2020
GymFG: A Framework with a Gym Interface for FlightGear
Over the past decades, progress in deployable autonomous flight systems ...
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02/28/2020
Reinforcement Learning in FlipIt
Reinforcement learning has shown much success in games such as chess, ba...
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02/19/2020
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks
Designing effective defense against adversarial attacks is a crucial top...
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02/18/2020
Block Switching: A Stochastic Approach for Deep Learning Security
Recent study of adversarial attacks has revealed the vulnerability of mo...
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08/20/2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
Despite achieving remarkable success in various domains, recent studies ...
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08/01/2019
Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data
Many common sequential data sources, such as source code and natural lan...
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09/13/2018
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks
Deep neural networks (DNNs) are known vulnerable to adversarial attacks....
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05/18/2018
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
Motivated by the problem of automated repair of software vulnerabilities...
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02/14/2018