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Feb 26, 2020
Machine Learning
Computer Vision
Human-Computer Interaction

CLARA: Clinical Report Auto-completion

Generating clinical reports from raw recordings such as X-rays and electroencephalogram (EEG) is an essential and routine task for doctors. However, …
Feb 26, 2020
Artificial Intelligence
Human-Computer Interaction

The Emerging Landscape of Explainable AI Planning and Decision Making

In this paper, we provide a comprehensive outline of the different threads of work in Explainable AI Planning (XAIP) that has emerged as a focus area…
Feb 26, 2020
Machine Learning
Artificial Intelligence

Provable Meta-Learning of Linear Representations

Meta-learning, or learning-to-learn, seeks to design algorithms that can utilize previous experience to rapidly learn new skills or adapt to new envi…
Feb 26, 2020
Computer Vision
Machine Learning

Graphcore C2 Card performance for image-based deep learning applicati…

Recently, Graphcore has introduced an IPU Processor for accelerating machine learning applications. The architecture of the processor has been design…
Feb 26, 2020
Data Structures and Algorithms
Machine Learning
Data Analysis
Statistics and Probability

Compact Representation of Uncertainty in Hierarchical Clustering

Hierarchical clustering is a fundamental task often used to discover meaningful structures in data, such as phylogenetic trees, taxonomies of concept…
Feb 26, 2020
Neural and Evolutionary Computation
Computer Vision
Image and Video Processing

Overall, there are a wide range of future applications for event-based sensors due to their speed, size, low memory requirements, and high dynamic range. This paper presents an algorithm that improves state-of-the-art performance for object classifi…

Inceptive Event Time-Surfaces for Object Classification Using Neuro…

This paper presents a novel fusion of low-level approaches for dimensionality reduction into an effective approach for high-level objects in neuromor…
Feb 26, 2020
Machine Learning
Computers and Society

Fair Learning with Private Demographic Data

Sensitive attributes such as race are rarely available to learners in real world settings as their collection is often restricted by laws and regulat…
Feb 26, 2020
Computer Vision

A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in …

This paper describes one objective function for learning semantically coherent feature embeddings in multi-output classification problems, i.e., when…
Feb 26, 2020
Machine Learning
Robotics

Learning Navigation Costs from Demonstration in Partially Observable …

This paper focuses on inverse reinforcement learning (IRL) to enable safe and efficient autonomous navigation in unknown partially observable environ…
Feb 26, 2020
Computer Vision

Dynamic Graph Correlation Learning for Disease Diagnosis with Incompl…

Disease diagnosis on chest X-ray images is a challenging multi-label classification task. Previous works generally classify the diseases independentl…
Feb 26, 2020
Computer Vision
Multimedia
Image and Video Processing

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super…

In this paper, we explore the space-time video super-resolution task, which aims to generate a high-resolution (HR) slow-motion video from a low fram…
Feb 26, 2020
Machine Learning

Stagewise Enlargement of Batch Size for SGD-based Learning

Existing research shows that the batch size can seriously affect the performance of stochastic gradient descent~(SGD) based learning, including train…
Feb 26, 2020
Information Theory
Machine Learning

Minimax Optimal Estimation of KL Divergence for Continuous Distributi…

Estimating Kullback-Leibler divergence from identical and independently distributed samples is an important problem in various domains. One simple an…
Feb 26, 2020
Human-Computer Interaction

An Optimal Control Model of Mouse Pointing Using the LQR

In this paper we explore the Linear-Quadratic Regulator (LQR) to model movement of the mouse pointer. We propose a model in which users are assumed t…
Feb 26, 2020
Information Retrieval
Machine Learning

Ranking a set of objects: a graph based least-square approach

We consider the problem of ranking $N$ objects starting from a set of noisy pairwise comparisons provided by a crowd of equal workers. We assume that…
Feb 26, 2020
Machine Learning
Information Retrieval

Recommendation on a Budget: Column Space Recovery from Partially Ob…

We analyze alternating minimization for column space recovery of a partially observed, approximately low rank matrix with a growing number of columns…
Feb 26, 2020
Optimization and Control
Machine Learning

Proximal Gradient Algorithm with Momentum and Flexible Parameter Rest…

Various types of parameter restart schemes have been proposed for accelerated gradient algorithms to facilitate their practical convergence in convex…
Feb 26, 2020
Image and Video Processing
Computer Vision

Automatically Searching for U-Net Image Translator Architecture

Image translators have been successfully applied to many important low level image processing tasks. However, classical network architecture of image…
Feb 26, 2020
Machine Learning
Cryptography and Security
Computer Vision

Experimental Setup. We describe the train and test environment for our experiments. All base robust models were trained using PGD (madry2018towards) for ResNet18 with the attack strength ϵ specified in the tables below and default attack steps. Mode…

Revisiting Ensembles in an Adversarial Context: Improving Natural A…

A necessary characteristic for the deployment of deep learning models in real world applications is resistance to small adversarial perturbations whi…
Feb 26, 2020
Computer Vision
Computation and Language

Object Relational Graph with Teacher-Recommended Learning for Video …

Taking full advantage of the information from both vision and language is critical for the video captioning task. Existing models lack adequate visua…
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