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Dec 04, 2019
Machine Learning

Fantastic Generalization Measures and Where to Find Them

Generalization of deep networks has been of great interest in recent years, resulting in a number of theoretically and empirically motivated complexi…
Dec 04, 2019
Machine Learning
Computational Engineering
Finance
and Science i
Probability

Copula-based anomaly scoring and localization for large-scale, high…

The anomaly detection method presented by this paper has a special feature: it does not only indicate whether an observation is anomalous or not but …
Dec 04, 2019
Machine Learning

We thank the International Max Planck Research School for Intelligent Systems (IMPRS-IS) for supporting Marin Vlastelica. We acknowledge the support from the German Federal Ministry of Education and Research (BMBF) through the Tübingen AI Center (FK…

Differentiation of Blackbox Combinatorial Solvers

Achieving fusion of deep learning with combinatorial algorithms promises transformative changes to artificial intelligence. One possible approach is …
Dec 04, 2019
Machine Learning

A Variational Perturbative Approach to Planning in Graph-based Markov…

Coordinating multiple interacting agents to achieve a common goal is a difficult task with huge applicability. This problem remains hard to solve, ev…
Dec 04, 2019
Computer Vision

Object Detection with Convolutional Neural Networks

In this chapter, we present a brief overview of the recent development in object detection using convolutional neural networks (CNN). Several classic…
Dec 04, 2019
Computer Vision
Computers and Society

Algorithmic Discrimination: Formulation and Exploration in Deep Lea…

The most popular face recognition benchmarks assume a distribution of subjects without much attention to their demographic attributes. In this work, …
Dec 04, 2019
Computer Vision

Explorable Super Resolution

Single image super resolution (SR) has seen major performance leaps in recent years. However, existing methods do not allow exploring the infinitely …
Dec 04, 2019
Computer Vision
Image and Video Processing
Quantitative Methods

Knee Cartilage Segmentation Using Diffusion-Weighted MRI

The integrity of articular cartilage is a crucial aspect in the early diagnosis of osteoarthritis (OA). Many novel MRI techniques have the potential …
Dec 04, 2019
Computer Vision
Machine Learning

Diversity-Generated Image Inpainting with Style Extraction

The latest methods based on deep learning have achieved amazing results regarding the complex work of inpainting large missing areas in an image. Thi…
Dec 04, 2019
Machine Learning
Numerical Analysis
Optimization and Control

A Machine Learning Framework for Solving High-Dimensional Mean Field …

Mean field games (MFG) and mean field control (MFC) are critical classes of multi-agent models for efficient analysis of massive populations of inter…
Dec 04, 2019
Image and Video Processing
Computer Vision

Efficient feature embedding of 3D brain MRI images for content-based …

Increasing numbers of MRI brain scans, improvements in image resolution, and advancements in MRI acquisition technology are causing significant incre…
Dec 04, 2019
Machine Learning

Domain-independent Dominance of Adaptive Methods

From a simplified analysis of adaptive methods, we derive AvaGrad, a new optimizer which outperforms SGD on vision tasks when its adaptability is pro…
Dec 04, 2019
Artificial Intelligence

Counterfactual Explanation Algorithms for Behavioral and Textual Data

We study the interpretability of predictive systems that use high-dimensonal behavioral and textual data. Examples include predicting product interes…
Dec 04, 2019
Computer Vision
Machine Learning
Neural and Evolutionary Computation

Handwriting-Based Gender Classification Using End-to-End Deep Neural …

Handwriting-based gender classification is a well-researched problem that has been approached mainly by traditional machine learning techniques. In t…
Dec 04, 2019
Computer Vision

Drone-based Joint Density Map Estimation, Localization and Tracking w…

This paper proposes a space-time multi-scale attention network (STANet) to solve density map estimation, localization and tracking in dense crowds of…
Dec 04, 2019
Machine Learning

Learning with Multiplicative Perturbations

Adversarial Training (AT) and Virtual Adversarial Training (VAT) are the regularization techniques that train Deep Neural Networks (DNNs) with advers…
Dec 04, 2019
Optimization and Control
Computer Science and Game Theory
Machine Learning
Mathematical Finance

Deep Fictitious Play for Finding Markovian Nash Equilibrium in Mult…

We propose a deep neural network-based algorithm to identify the Markovian Nash equilibrium of general large $N$-player stochastic differential games…
Dec 04, 2019
Methodology
Machine Learning

Reluctant additive modeling

Sparse generalized additive models (GAMs) are an extension of sparse generalized linear models which allow a model's prediction to vary non-linearly …
Dec 04, 2019
Computer Vision
Machine Learning

Adversarial Domain Adaptation with Domain Mixup

Recent works on domain adaptation reveal the effectiveness of adversarial learning on filling the discrepancy between source and target domains. Howe…
Dec 04, 2019
Computer Vision

Spectral-GANs for High-Resolution 3D Point-cloud Generation

Point-clouds are a popular choice for vision and graphics tasks due to their accurate shape description and direct acquisition from range-scanners. T…
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