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08/23/2023
Layer-wise Feedback Propagation
In this paper, we present Layer-wise Feedback Propagation (LFP), a novel...
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11/21/2022
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
Applying traditional post-hoc attribution methods to segmentation or obj...
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06/07/2022
From "Where" to "What": Towards Human-Understandable Explanations through Concept Relevance Propagation
The emerging field of eXplainable Artificial Intelligence (XAI) aims to ...
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06/10/2021
Curiously Effective Features for Image Quality Prediction
The performance of visual quality prediction models is commonly assumed ...
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12/17/2020
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons
With the growing demand for deploying deep learning models to the "edge"...
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04/22/2020
Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements
Digital contact tracing approaches based on Bluetooth low energy (BLE) h...
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03/06/2020
Trends and Advancements in Deep Neural Network Communication
Due to their great performance and scalability properties neural network...
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07/27/2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
The field of video compression has developed some of the most sophistica...
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05/15/2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression
We present DeepCABAC, a novel context-adaptive binary arithmetic coder f...
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09/13/2018
Focus Group on Artificial Intelligence for Health
Artificial Intelligence (AI) - the phenomenon of machines being able to ...
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08/28/2017
The Convergence of Machine Learning and Communications
The areas of machine learning and communication technology are convergin...
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08/28/2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
With the availability of large databases and recent improvements in deep...
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12/06/2016