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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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08/18/2023
From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space
Deep Neural Networks are prone to learning spurious correlations embedde...
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06/23/2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
We present DiffInfinite, a hierarchical diffusion model that generates a...
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04/27/2023
XAI-based Comparison of Input Representations for Audio Event Classification
Deep neural networks are a promising tool for Audio Event Classification...
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03/22/2023
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
State-of-the-art machine learning models often learn spurious correlatio...
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03/11/2023
Explainable AI for Time Series via Virtual Inspection Layers
The field of eXplainable Artificial Intelligence (XAI) has greatly advan...
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03/07/2023
A Privacy Preserving System for Movie Recommendations using Federated Learning
Recommender systems have become ubiquitous in the past years. They solve...
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02/14/2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
Explainable AI (XAI) is a rapidly evolving field that aims to improve tr...
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11/30/2022
Optimizing Explanations by Network Canonization and Hyperparameter Search
Explainable AI (XAI) is slowly becoming a key component for many AI appl...
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11/22/2022
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
While the evaluation of explanations is an important step towards trustw...
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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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11/04/2022
Data Models for Dataset Drift Controls in Machine Learning With Images
Camera images are ubiquitous in machine learning research. They also pla...
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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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05/30/2022
FedAUXfdp: Differentially Private One-Shot Federated Distillation
Federated learning suffers in the case of non-iid local datasets, i.e., ...
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05/07/2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
The advent of Federated Learning (FL) has ignited a new paradigm for par...
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05/04/2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
The ability to continuously process and retain new information like we d...
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04/09/2022
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning
Federated learning (FL) scenarios inherently generate a large communicat...
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03/15/2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
Explainable Artificial Intelligence (XAI) is an emerging research field ...
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02/14/2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations
The evaluation of explanation methods is a research topic that has not y...
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02/07/2022
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging
State-of-the-art machine learning models are commonly (pre-)trained on l...
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12/21/2021
Toward Explainable AI for Regression Models
In addition to the impressive predictive power of machine learning (ML) ...
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11/01/2021
Evaluating deep transfer learning for whole-brain cognitive decoding
Research in many fields has shown that transfer learning (TL) is well-su...
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09/09/2021
ECQ^x: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
The remarkable success of deep neural networks (DNNs) in various applica...
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06/27/2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
The recent advent of various forms of Federated Knowledge Distillation (...
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06/25/2021
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
There is an increasing number of medical use-cases where classification ...
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06/24/2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy
Deep Neural Networks (DNNs) are known to be strong predictors, but their...
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02/04/2021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
Federated Distillation (FD) is a popular novel algorithmic paradigm for ...
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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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12/01/2020
Communication-Efficient Federated Distillation
Communication constraints are one of the major challenges preventing the...
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09/24/2020
A Unifying Review of Deep and Shallow Anomaly Detection
Deep learning approaches to anomaly detection have recently improved the...
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08/31/2020
Langevin Cooling for Domain Translation
Domain translation is the task of finding correspondence between two dom...
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07/17/2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification
Cross-domain few-shot classification task (CD-FSC) combines few-shot cla...
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06/14/2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
In this work, we propose MixMOOD - a systematic approach to mitigate eff...
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06/09/2020
Sensor Artificial Intelligence and its Application to Space Systems – A White Paper
Information and communication technologies have accompanied our everyday...
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04/28/2020
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Electrocardiography is a very common, non-invasive diagnostic procedure ...
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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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04/22/2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Integrated gradients as an attribution method for deep neural network mo...
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04/09/2020
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
Deep Neural Networks are successful but highly computationally expensive...
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04/02/2020
Learning Sparse Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
Deep neural networks (DNN) have shown remarkable success in a variety of...
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03/27/2020
Interval Neural Networks as Instability Detectors for Image Reconstructions
This work investigates the detection of instabilities that may occur whe...
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03/25/2020
Interval Neural Networks: Uncertainty Scores
We propose a fast, non-Bayesian method for producing uncertainty scores ...
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03/17/2020
Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond
With the broader and highly successful usage of machine learning in indu...
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03/16/2020
Towards Ground Truth Evaluation of Visual Explanations
Several methods have been proposed to explain the decisions of neural ne...
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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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01/04/2020
Understanding Image Captioning Models beyond Visualizing Attention
This paper explains predictions of image captioning models with attentio...
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12/22/2019
Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed
Today's machine learning models for computer vision are typically traine...
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12/18/2019
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
The success of convolutional neural networks (CNNs) in various applicati...
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12/16/2019
On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence
Systems incorporating Artificial Intelligence (AI) and machine learning ...
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10/29/2019
Asymptotically Unbiased Generative Neural Sampling
We propose a general framework for the estimation of observables with ge...
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10/22/2019