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Dec 03, 2020
Computer Vision
Graphics
Machine Learning

pixelNeRF: Neural Radiance Fields from One or Few Images

We propose pixelNeRF, a learning framework that predicts a continuous neural scene representation conditioned on one or few input images. The existin…
Dec 03, 2020
Computer Vision

Learned Initializations for Optimizing Coordinate-Based Neural Repr…

Coordinate-based neural representations have shown significant promise as an alternative to discrete, array-based representations for complex low dim…
Dec 03, 2020
Machine Learning
Numerical Analysis
Optimization and Control

Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style …

Momentum plays a crucial role in stochastic gradient-based optimization algorithms for accelerating or improving training deep neural networks (DNNs)…
Dec 03, 2020
Machine Learning

Classification and reconstruction of optical quantum states with deep…

We apply deep-neural-network-based techniques to quantum state classification and reconstruction. We demonstrate high classification accuracies and r…
Dec 03, 2020
Computer Vision

BasicVSR: The Search for Essential Components in Video Super-Resoluti…

Video super-resolution (VSR) approaches tend to have more components than the image counterparts as they need to exploit the additional temporal dime…
Dec 03, 2020
Cellular Automata and Lattice Gases
Machine Learning

Reconstructing cellular automata rules from observations at noncons…

Recent experiments by Springer and Kenyon have shown that a deep neural network can be trained to predict the action of $t$ steps of Conway's Game of…
Dec 03, 2020
Computer Vision
Machine Learning

DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Tempor…

We propose an online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previous time …
Dec 03, 2020
Robotics

Material Recognition via Heat Transfer Given Ambiguous Initial Cond…

Humans and robots can recognize materials with distinct thermal effusivities by making physical contact and observing temperatures during heat transf…
Dec 03, 2020
Signal Processing
Machine Learning
Networking and Internet Architecture

Channel Effects on Surrogate Models of Adversarial Attacks against …

We consider a wireless communication system that consists of a background emitter, a transmitter, and an adversary. The transmitter is equipped with …
Dec 03, 2020
Computer Vision

MakeupBag: Disentangling Makeup Extraction and Application

This paper introduces MakeupBag, a novel method for automatic makeup style transfer. Our proposed technique can transfer a new makeup style from a re…
Dec 03, 2020
Machine Learning
Molecular Networks
Quantitative Methods

Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing

The 2019 novel coronavirus (SARS-CoV-2) pandemic has resulted in more than a million deaths, high morbidities, and economic distress worldwide. There…
Dec 03, 2020
Machine Learning

Approximate kNN Classification for Biomedical Data

We are in the era where the Big Data analytics has changed the way of interpreting the various biomedical phenomena, and as the generated data increa…
Dec 03, 2020
Computer Vision
Robotics

Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for P…

One of the most crucial yet challenging tasks for autonomous vehicles in urban environments is predicting the future behaviour of nearby pedestrians,…
Dec 03, 2020
Computation and Language

Do We Really Need That Many Parameters In Transformer For Extractive …

The multi-head self-attention of popular transformer models is widely used within Natural Language Processing (NLP), including for the task of extrac…
Dec 03, 2020
Machine Learning
Information Theory
Signal Processing
Optimization and Control

Manifold Learning and Deep Clustering with Local Dictionaries

We introduce a novel clustering algorithm for data sampled from a union of nonlinear manifolds. Our algorithm extends a popular manifold clustering f…
Dec 03, 2020
Computer Science and Game Theory
Machine Learning

On the Impossibility of Convergence of Mixed Strategies with No Regre…

We study convergence properties of the mixed strategies that result from a general class of optimal no regret learning strategies in a repeated game …
Dec 03, 2020
Robotics
Artificial Intelligence
Machine Learning

Radar Artifact Labeling Framework (RALF): Method for Plausible Radar …

Research on localization and perception for Autonomous Driving is mainly focused on camera and LiDAR datasets, rarely on radar data. Manually labelin…
Dec 03, 2020
Artificial Intelligence
Machine Learning
Multiagent Systems

A framework for multichain steady-state policy synthesis was set forth for deriving policies that satisfy constraints on the steady-state behavior of the agent. A linear programming solution was proposed and its correctness is proved for classes of …

Verifiable Planning in Expected Reward Multichain MDPs

The planning domain has experienced increased interest in the formal synthesis of decision-making policies. This formal synthesis typically entails f…
Dec 03, 2020
Computer Vision

Explainability plays a major rule in debugging neural networks, creating trust in the predictive capabilities of networks beyond the specific test dataset, and in seeding downstream methods that analyze the images spatially. Previous visualization m…

Visualization of Supervised and Self-Supervised Neural Networks via …

Neural network visualization techniques mark image locations by their relevancy to the network's classification. Existing methods are effective in hi…
Dec 03, 2020
Social and Information Networks
Computers and Society
Machine Learning

This paper analyzed a dataset of nearly 505k COVID-19-related misinformation and factual tweets to investigate misinformation as a function of bot-like behavior and to discover which features in COVID-19-related tweets are the most relevant in disti…

Predicting Misinformation and Engagement in COVID-19 Twitter Discours…

Disinformation entails the purposeful dissemination of falsehoods towards a greater dubious agenda and the chaotic fracturing of a society. The gener…
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