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09/13/2023
Scaled Prompt-Tuning for Few-Shot Natural Language Generation
The increasingly Large Language Models (LLMs) demonstrate stronger langu...
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06/06/2023
Supervised Knowledge May Hurt Novel Class Discovery Performance
Novel class discovery (NCD) aims to infer novel categories in an unlabel...
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05/03/2023
DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents
Language identification describes the task of recognizing the language o...
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11/23/2022
Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket
Binary neural networks are the extreme case of network quantization, whi...
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10/29/2022
Empirical Evaluation of Post-Training Quantization Methods for Language Tasks
Transformer-based architectures like BERT have achieved great success in...
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09/19/2022
A Closer Look at Novel Class Discovery from the Labeled Set
Novel class discovery (NCD) aims to infer novel categories in an unlabel...
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06/20/2022
Mitigating Sovereign Data Exchange Challenges: A Mapping to Apply Privacy- and Authenticity-Enhancing Technologies
Harmful repercussions from sharing sensitive or personal data can hamper...
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01/13/2022
Weakly Supervised Scene Text Detection using Deep Reinforcement Learning
The challenging field of scene text detection requires complex data anno...
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12/27/2021
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?
Contrastive Language–Image Pre-training (CLIP) has shown remarkable succ...
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07/14/2021
Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data
One of the most pressing problems in the automated analysis of historica...
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06/13/2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
Recent works on Binary Neural Networks (BNNs) have made promising progre...
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06/02/2021
Not All Knowledge Is Created Equal
Mutual knowledge distillation (MKD) improves a model by distilling knowl...
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03/22/2021
Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing
The analysis of the compression effects in generative adversarial networ...
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11/04/2020
Handwriting Classification for the Analysis of Art-Historical Documents
Digitized archives contain and preserve the knowledge of generations of ...
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10/21/2020
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
Generative Adversarial Networks (GANs) have achieved state-of-the-art pe...
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10/09/2020
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
We propose a family of metrics to assess language generation derived fro...
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02/03/2020
Improving the Evaluation of Generative Models with Fuzzy Logic
Objective and interpretable metrics to evaluate current artificial intel...
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01/16/2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Binary Neural Networks (BNNs) are neural networks which use binary weigh...
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01/10/2020
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
We propose to tackle the mode collapse problem in generative adversarial...
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11/19/2019
KISS: Keeping It Simple for Scene Text Recognition
Over the past few years, several new methods for scene text recognition ...
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10/31/2019
SignCol: Open-Source Software for Collecting Sign Language Gestures
Sign(ed) languages use gestures, such as hand or head movements, for com...
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09/30/2019
K-Metamodes: frequency- and ensemble-based distributed k-modes clustering for security analytics
Nowadays processing of Big Security Data, such as log messages, is commo...
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06/19/2019
Back to Simplicity: How to Train Accurate BNNs from Scratch?
Binary Neural Networks (BNNs) show promising progress in reducing comput...
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01/11/2019
Don't Wait to be Breached! Creating Asymmetric Uncertainty of Cloud Applications via Moving Target Defenses
Cloud applications expose - besides service endpoints - also potential o...
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12/11/2018
Towards Automatic Personality Prediction Using Facebook Like Categories
We demonstrate that effortlessly accessible digital records of behavior ...
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12/05/2018
Training Competitive Binary Neural Networks from Scratch
Convolutional neural networks have achieved astonishing results in diffe...
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11/22/2018
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data
We propose a new generative adversarial architecture to mitigate imbalan...
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11/14/2018
LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks
Recently, deep neural networks have achieved remarkable performance on t...
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10/09/2018
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation
We propose a new generative adversarial architecture to mitigate imbalan...
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09/27/2018
Learning to Train a Binary Neural Network
Convolutional neural networks have achieved astonishing results in diffe...
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07/30/2018
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
We propose to incorporate adversarial dropout in generative multi-advers...
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07/21/2018
On the Relevance of Blockchain in Identity Management
The ubiquitous application of emerging blockchain technology in numerous...
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07/17/2018
A Survey on Essential Components of a Self-Sovereign Identity
This paper provides an overview of the Self-Sovereign Identity (SSI) con...
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12/14/2017
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
Detecting and recognizing text in natural scene images is a challenging,...
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07/27/2017
STN-OCR: A single Neural Network for Text Detection and Text Recognition
Detecting and recognizing text in natural scene images is a challenging,...
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05/27/2017
BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Binary Neural Networks (BNNs) can drastically reduce memory size and acc...
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04/04/2016
