162 citations · 1.2k across the 78 of their papers we have counts for
9 papers · 1 filter
Leveraging Random Label Memorization for Unsupervised Pre-Training
Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran +2
We present a novel approach to leverage large unlabeled datasets by pre-training state-of-the-art deep neural networks on randomly-labeled datasets. Specifically, we train the neur…
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti +4
Biometric authentication by means of handwritten signatures is a challenging pattern recognition task, which aims to infer a writer model from only a handful of genuine signatures.…
Subword Semantic Hashing for Intent Classification on Small Datasets
Kumar Shridhar, Ayushman Dash, Amit Sahu +6
In this paper, we introduce the use of Semantic Hashing as embedding for the task of Intent Classification and achieve state-of-the-art performance on three frequently used benchma…
Are You Tampering With My Data?
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch +4
We propose a novel approach towards adversarial attacks on neural networks (NN), focusing on tampering the data used for training instead of generating attacks on trained models. O…
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference
Kumar Shridhar, Felix Laumann, Marcus Liwicki
We introduce a novel uncertainty estimation for classification tasks for Bayesian convolutional neural networks with variational inference. By normalizing the output of a Softplus…
Bidirectional Learning for Robust Neural Networks
Sidney Pontes-Filho, Marcus Liwicki
A multilayer perceptron can behave as a generative classifier by applying bidirectional learning (BL). It consists of training an undirected neural network to map input to output a…