On-line handwritten character segmentation is often associated with
hand...
Digital ink (online handwriting) generation has a number of potential
ap...
We introduce Inkorrect, a data- and label-efficient approach for online
...
In this paper we describe a method to tackle data sparsity and create
re...
Many applications require accurate indoor localization. Fingerprint-base...
Simulating online recommender system performance is notoriously difficul...
Multi-objective gradient methods are becoming the standard for solving
m...
The goal of fairness in classification is to learn a classifier that doe...
Super-resolution (SR) has traditionally been based on pairs of
high-reso...
Supporting recommendations with personalized and relevant explanations
i...
In this work, we present a text generation approach with multi-attribute...
We introduce a dictionary containing forms of common words in various Sw...
Data augmentation promises to alleviate data scarcity. This is most impo...
Recommender systems need to mirror the complexity of the environment the...
This paper presents SwissCrawl, the largest Swiss German text corpus to ...
Neural models achieved considerable improvement for many natural languag...
In sequence modeling tasks the token order matters, but this information...
Despite significant progress toward super resolving more realistic image...
State-of-the-art methods for text classification include several distinc...
Most work in text classification and Natural Language Processing (NLP)
f...
We propose a method to create document representations that reflect thei...
We identify a phenomenon, which we refer to as multi-model forgetting, t...
Neural Architecture Search (NAS) aims to facilitate the design of deep
n...
Most of the world's data is stored in relational databases. Accessing th...
We propose a new method to detect when users express the intent to leave...
It is safe to assume that, for the foreseeable future, machine learning,...
Text summarization condenses a text to a shorter version while retaining...
Goal-oriented (GO) dialogue systems rely on an initial natural language
...
Goal-Oriented (GO) Dialogue Systems, colloquially known as goal oriented...
The dramatic success of deep neural networks across multiple application...
Keyphrase extraction is the task of automatically selecting a small set ...
The goal of this work is to design a machine translation system for a
lo...
Aspect Term Extraction (ATE) detects opinionated aspect terms in sentenc...
Aspect Term Extraction (ATE) identifies opinionated aspect terms in text...