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Classification based on invisible features and thereby finding the effect of tuberculosis vaccine on COVID-19
NihalAcharyaAdde, ThiloMoshagen....
Published date-11/14/2020
In the case of clustered data, an artificial neural network with logcosh loss function learns the bigger cluster rather than the mean of the two. Even more so, the ANN …
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
DanielLengyel, JanithPetangoda, IsakFalk....
Published date-11/14/2020
We propose an efficient algorithm to visualise symmetries in neural networks. Typically, models are defined with respect to a parameter space, where non-equal parameters can produce the same input-output map. …
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
SoufianeBelharbi, JérômeRony, JoseDolz....
Published date-11/14/2020
Weakly supervised learning (WSL) has recently triggered substantial interest as it mitigates the lack of pixel-wise annotations, while enabling interpretable models. Given global image labels, WSL methods yield pixel-level predictions …
DebateSum: A large-scale argument mining and summarization dataset
AllenRoush, ArvindBalaji....
Published date-11/14/2020
AbstractiveTextSummarization, ArgumentMining, DocumentSummarization, ExtractiveDocumentSummarization, InformationRetrieval, Query-BasedExtractiveSummarization, TextSummarization
Prior work in Argument Mining frequently alludes to its potential applications in automatic debating systems. Despite this focus, almost no datasets or models exist which apply natural language processing techniques …
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition
ShihaoXu, HaocongRao, XipingHu....
Published date-11/14/2020
ActionRecognition, Clustering, RepresentationLearning, SemanticSimilarity, SemanticTextualSimilarity, SkeletonBasedActionRecognition, UnsupervisedRepresentationLearning
In this paper, we focus on unsupervised representation learning for skeleton-based action recognition. Existing approaches usually learn action representations by sequential prediction but they suffer from the inability to fully …
Privacy-Preserving Pose Estimation for Human-Robot Interaction
YouyaXia, YifanTang, YuhanHu....
Published date-11/14/2020
Humanrobotinteraction, ImageEnhancement, PoseEstimation
Pose estimation is an important technique for nonverbal human-robot interaction. That said, the presence of a camera in a person's space raises privacy concerns and could lead to distrust of …