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FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology
AndréPedersen, MaritValla, AnnaM.Bofin....
Published date-11/11/2020
Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, display …
Zero-Pair Image to Image Translation using Domain Conditional Normalization
SamarthShukla, AndrésRomero, LucvanGool....
Published date-11/11/2020
Image-to-ImageTranslation
In this paper, we propose an approach based on domain conditional normalization (DCN) for zero-pair image-to-image translation, i.e., translating between two domains which have no paired training data available but …
A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures
YingtaoLuo, XueFengZhu....
Published date-11/11/2020
ProbabilisticDeepLearning
In quantum mechanics, a norm squared wave function can be interpreted as the probability density that describes the likelihood of a particle to be measured in a given position or …
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
YanboXu, DivyatMahajan, LizManrao....
Published date-11/11/2020
CausalInference
For many kinds of interventions, such as a new advertisement, marketing intervention, or feature recommendation, it is important to target a specific subset of people for maximizing its benefits at …
A Unified Framework for Compressive Video Recovery from Coded Exposure Techniques
PrasanShedligeri, AnupamaS, KaushikMitra....
Published date-11/11/2020
Several coded exposure techniques have been proposed for acquiring high frame rate videos at low bandwidth. Most recently, a Coded-2-Bucket camera has been proposed that can acquire two compressed measurements …
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
RagavSachdeva, FilipeR.Cordeiro, VasileiosBelagiannis....
Published date-11/11/2020
The efficacy of deep learning depends on large-scale data sets that have been carefully curated with reliable data acquisition and annotation processes. However, acquiring such large-scale data sets with precise …