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Oct 28, 2020
Machine Learning
Combinatorics

On Graph Neural Networks versus Graph-Augmented MLPs

From the perspective of expressive power, this work compares multi-layer Graph Neural Networks (GNNs) with a simplified alternative that we call Grap…
Oct 28, 2020
Machine Learning
Computation and Language

The geometry of integration in text classification RNNs

Despite the widespread application of recurrent neural networks (RNNs) across a variety of tasks, a unified understanding of how RNNs solve these tas…
Oct 28, 2020
Statistical Finance
Machine Learning

Evaluating data augmentation for financial time series classification

Data augmentation methods in combination with deep neural networks have been used extensively in computer vision on classification tasks, achieving g…
Oct 28, 2020
Machine Learning

Deep learning versus kernel learning: an empirical study of loss la…

In suitably initialized wide networks, small learning rates transform deep neural networks (DNNs) into neural tangent kernel (NTK) machines, whose tr…
Oct 28, 2020
Machine Learning

Evaluating Model Robustness to Dataset Shift

As the use of machine learning in safety-critical domains becomes widespread, the importance of evaluating their safety has increased. An important a…
Oct 28, 2020
Computation and Language
Machine Learning

Handling Class Imbalance in Low-Resource Dialogue Systems by Combinin…

Utterance classification performance in low-resource dialogue systems is constrained by an inevitably high degree of data imbalance in class labels. …
Oct 28, 2020
Machine Learning
Optimization and Control

Finite-Time Analysis of Decentralized Stochastic Approximation with …

Stochastic approximation, a data-driven approach for finding the fixed point of an unknown operator, provides a unified framework for treating many p…
Oct 28, 2020
Image and Video Processing
Computer Vision

Forgery Blind Inspection for Detecting Manipulations of Gel Electro…

Recently, falsified images have been found in papers involved in research misconducts. However, although there have been many image forgery detection…
Oct 28, 2020
Computer Vision
Artificial Intelligence
Human-Computer Interaction
Audio and Speech Processing
Image and Video Processing

Generative Adversarial Networks in Human Emotion Synthesis:A Review

Synthesizing realistic data samples is of great value for both academic and industrial communities. Deep generative models have become an emerging to…
Oct 28, 2020
Computation and Language
Artificial Intelligence
Machine Learning

Graph-based Topic Extraction from Vector Embeddings of Text Documents…

Production of news content is growing at an astonishing rate. To help manage and monitor the sheer amount of text, there is an increasing need to dev…
Oct 28, 2020
Neural and Evolutionary Computation
Computation and Language
Machine Learning

Measuring non-trivial compositionality in emergent communication

Compositionality is an important explanatory target in emergent communication and language evolution. The vast majority of computational models of co…
Oct 28, 2020
Machine Learning
Signal Processing

Self-awareness in Intelligent Vehicles: Experience Based Abnormality …

The evolution of Intelligent Transportation System in recent times necessitates the development of self-driving agents: the self-awareness consciousn…
Oct 28, 2020
Machine Learning
Artificial Intelligence
Computer Vision

Attribution Preservation in Network Compression for Reliable Network …

Neural networks embedded in safety-sensitive applications such as self-driving cars and wearable health monitors rely on two important techniques: in…
Oct 28, 2020
Computers and Society
Computer Vision

Image Representations Learned With Unsupervised Pre-Training Contain …

Recent advances in machine learning leverage massive datasets of unlabeled images from the web to learn general-purpose image representations for tas…
Oct 28, 2020
Audio and Speech Processing
Machine Learning
Sound

Optimizing Short-Time Fourier Transform Parameters via Gradient Desce…

The Short-Time Fourier Transform (STFT) has been a staple of signal processing, often being the first step for many audio tasks. A very familiar proc…
Oct 28, 2020
Quantitative Methods
Machine Learning

Automatic selection of eye tracking variables in visual categorizatio…

Visual categorization and learning of visual categories exhibit early onset, however the underlying mechanisms of early categorization are not well u…
Oct 28, 2020
Computer Vision

Data Agnostic Filter Gating for Efficient Deep Networks

To deploy a well-trained CNN model on low-end computation edge devices, it is usually supposed to compress or prune the model under certain computati…
Oct 28, 2020
Machine Learning

Training Generative Adversarial Networks by Solving Ordinary Differ…

The instability of Generative Adversarial Network (GAN) training has frequently been attributed to gradient descent. Consequently, recent methods hav…
Oct 28, 2020
Computation and Language

A Comprehensive Survey on Word Representation Models: From Classical …

Word representation has always been an important research area in the history of natural language processing (NLP). Understanding such complex text d…
Oct 28, 2020
Robotics

Inverse Optimal Control from Demonstration Segments

This paper develops an inverse optimal control method to learn an objective function from segments of demonstrations. Here, each segment is part of a…
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