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Mar 26, 2020
Computer Vision
Machine Learning
Image and Video Processing

Memory Enhanced Global-Local Aggregation for Video Object Detection

How do humans recognize an object in a piece of video? Due to the deteriorated quality of single frame, it may be hard for people to identify an occl…
Mar 26, 2020
Computer Vision
Machine Learning

Negative Margin Matters: Understanding Margin in Few-shot Classificat…

This paper introduces a negative margin loss to metric learning based few-shot learning methods. The negative margin loss significantly outperforms r…
Mar 26, 2020
Computer Vision

Correspondence Networks with Adaptive Neighbourhood Consensus

In this paper, we tackle the task of establishing dense visual correspondences between images containing objects of the same category. This is a chal…
Mar 26, 2020
Computer Vision
Machine Learning

Are Labels Necessary for Neural Architecture Search?

Existing neural network architectures in computer vision --- whether designed by humans or by machines --- were typically found using both images and…
Mar 26, 2020
Machine Learning
Cryptography and Security
Information Theory

Corella: A Private Multi Server Learning Approach based on Correlated…

The emerging applications of machine learning algorithms on mobile devices motivate us to offload the computation tasks of training a model or deploy…
Mar 26, 2020
Computer Vision

Learning Inverse Rendering of Faces from Real-world Videos

In this paper we examine the problem of inverse rendering of real face images. Existing methods decompose a face image into three components (albedo,…
Mar 26, 2020
Machine Learning
Computation

From unbiased MDI Feature Importance to Explainable AI for Trees

We attempt to give a unifying view of the various recent attempts to (i) improve the interpretability of tree-based models and (ii) debias the the de…
Mar 26, 2020
Social and Information Networks
Digital Libraries
Machine Learning
Physics and Society

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify …

Quantifying and predicting the long-term impact of scientific writings or individual scholars has important implications for many policy decisions, s…
Mar 26, 2020
Computer Vision

Rethinking Online Action Detection in Untrimmed Videos: A Novel Onlin…

The Online Action Detection (OAD) problem needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics…
Mar 26, 2020
Computer Vision
Machine Learning
Image and Video Processing

Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy …

Diabetic retinopathy (DR) is a primary cause of blindness in working-age people worldwide. About 3 to 4 million people with diabetes become blind bec…
Mar 26, 2020
Computer Vision

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

We introduce Recurrent All-Pairs Field Transforms (RAFT), a new deep network architecture for optical flow. RAFT extracts per-pixel features, builds …
Mar 26, 2020
Mathematical Software
Robotics
Combinatorics

FlexRiLoG -- A SageMath Package for Motions of Graphs

In this paper we present the SageMath package FlexRiLoG (short for flexible and rigid labelings of graphs). Based on recent results the software gene…
Mar 26, 2020
Computer Vision
Machine Learning

Convolutional Neural Networks for Image-based Corn Kernel Detection a…

Precise in-season corn grain yield estimates enable farmers to make real-time accurate harvest and grain marketing decisions minimizing possible loss…
Mar 26, 2020
Computer Vision

Milking CowMask for Semi-Supervised Image Classification

Consistency regularization is a technique for semi-supervised learning that has recently been shown to yield strong results for classification with f…
Mar 26, 2020
Neural and Evolutionary Computation
Disordered Systems and Neural Networks
Neurons and Cognition

The development and implementation of the presented second generation BrainScaleS architecture will hopefully continue during the next years. The outcome we hope for is a multi-wafer system, constructed from hundreds of 30cm silicon wafers, each one…

Accelerated Analog Neuromorphic Computing

This paper presents the concepts behind the BrainScales (BSS) accelerated analog neuromorphic computing architecture. It describes the second-generat…
Mar 26, 2020
Methodology
Machine Learning
Econometric

Estimating Treatment Effects with Observed Confounders and Mediators

Given a causal graph, the do-calculus can express treatment effects as functionals of the observational joint distribution that can be estimated empi…
Mar 26, 2020
Computation and Language

TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utteranc…

Natural Language Generation (NLG) models are prone to generating repetitive utterances. In this work, we study the repetition problem for encoder-dec…
Mar 26, 2020
Machine Learning

StrokeCoder: Path-Based Image Generation from Single Examples using …

This paper demonstrates how a Transformer Neural Network can be used to learn a Generative Model from a single path-based example image. We further s…
Mar 26, 2020
Machine Learning

Bag of biterms modeling for short texts

Analyzing texts from social media encounters many challenges due to their unique characteristics of shortness, massiveness, and dynamic. Short texts …
Mar 26, 2020
Computer Vision

Towards Backward-Compatible Representation Learning

We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned …
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