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Feb 13, 2020
Computer Vision

Automatically Discovering and Learning New Visual Categories with R…

We tackle the problem of discovering novel classes in an image collection given labelled examples of other classes. This setting is similar to semi-s…
Feb 13, 2020
Machine Learning
Computer Vision

Cross-Iteration Batch Normalization

A well-known issue of Batch Normalization is its significantly reduced effectiveness in the case of small mini-batch sizes. When a mini-batch contain…
Feb 13, 2020
Machine Learning
Computer Vision

A Simple Framework for Contrastive Learning of Visual Representations

This paper presents SimCLR: a simple framework for contrastive learning of visual representations. We simplify recently proposed contrastive self-sup…
Feb 13, 2020
Machine Learning

Simple Interactive Image Segmentation using Label Propagation through…

Many interactive image segmentation techniques are based on semi-supervised learning. The user may label some pixels from each object and the SSL alg…
Feb 13, 2020
Machine Learning

A Framework for End-to-End Learning on Semantic Tree-Structured Data

While learning models are typically studied for inputs in the form of a fixed dimensional feature vector, real world data is rarely found in this for…
Feb 13, 2020
Machine Learning
Multiagent Systems

Sequential Cooperative Bayesian Inference

Cooperation is often implicitly assumed when learning from other agents. Cooperation implies that the agent selecting the data, and the agent learnin…
Feb 13, 2020
Image and Video Processing
Computer Vision
Machine Learning
Medical Physics

Generative-based Airway and Vessel Morphology Quantification on Chest…

Accurately and precisely characterizing the morphology of small pulmonary structures from Computed Tomography (CT) images, such as airways and vessel…
Feb 13, 2020
Robotics
Artificial Intelligence
Machine Learning

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System

Mobile robot navigation is typically regarded as a geometric problem, in which the robot's objective is to perceive the geometry of the environment i…
Feb 13, 2020
Image and Video Processing
Computer Vision
Quantitative Methods

Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE

The increasing efficiency and compactness of deep learning architectures, together with hardware improvements, have enabled the complex and high-dime…
Feb 13, 2020
Computer Vision
Machine Learning

Classifying the classifier: dissecting the weight space of neural n…

This paper presents an empirical study on the weights of neural networks, where we interpret each model as a point in a high-dimensional space -- the…
Feb 13, 2020
Machine Learning

Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE

t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in speeding …
Feb 13, 2020
Machine Learning

Fractional Underdamped Langevin Dynamics: Retargeting SGD with Moment…

Stochastic gradient descent with momentum (SGDm) is one of the most popular optimization algorithms in deep learning. While there is a rich theory of…
Feb 13, 2020
Machine Learning

Learn to Expect the Unexpected: Probably Approximately Correct Domain…

Domain generalization is the problem of machine learning when the training data and the test data come from different data domains. We present a simp…
Feb 13, 2020
Machine Learning
Distributed
Parallel
and Cluster Computing

Training Large Neural Networks with Constant Memory using a New Exe…

Widely popular transformer-based NLP models such as BERT and GPT have enormous capacity trending to billions of parameters. Current execution methods…
Feb 13, 2020
Biomolecules
Machine Learning

DeepSurf: A surface-based deep learning approach for the prediction o…

The knowledge of potentially druggable binding sites on proteins is an important preliminary step towards the discovery of novel drugs. The computati…
Feb 13, 2020
Neural and Evolutionary Computation

Adapting to Unseen Environments through Explicit Representation of …

In order to deploy autonomous agents to domains such as autonomous driving, infrastructure management, health care, and finance, they must be able to…
Feb 13, 2020
Computation and Language
Multimedia

Looking Enhances Listening: Recovering Missing Speech Using Images

Speech is understood better by using visual context; for this reason, there have been many attempts to use images to adapt automatic speech recogniti…
Feb 13, 2020
Computer Vision

GANILLA: Generative Adversarial Networks for Image to Illustration …

In this paper, we explore illustrations in children's books as a new domain in unpaired image-to-image translation. We show that although the current…
Feb 13, 2020
Machine Learning

CBAG: Conditional Biomedical Abstract Generation

Biomedical research papers use significantly different language and jargon when compared to typical English text, which reduces the utility of pre-tr…
Feb 13, 2020
Computers and Society
Artificial Intelligence
Computer Vision
Machine Learning

As artificial intelligence systems have a greater role in human interactions, a stronger understanding of the types of biases that can pervade these systems and the effect they have on machine learning systems is necessary to enforce fair and ethica…

Machines Learn Appearance Bias in Face Recognition

We seek to determine whether state-of-the-art, black box face recognition techniques can learn first-impression appearance bias from human annotation…
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