b'Claudiu Musat'

research

∙ 09/06/2023

Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation

On-line handwritten character segmentation is often associated with hand...

0 Michael Jungo, et al. ∙

research

∙ 06/02/2023

Sampling and Ranking for Digital Ink Generation on a tight computational budget

Digital ink (online handwriting) generation has a number of potential ap...

0 Andrei Afonin, et al. ∙

research

∙ 02/28/2022

Inkorrect: Online Handwriting Spelling Correction

We introduce Inkorrect, a data- and label-efficient approach for online ...

0 Andrii Maksai, et al. ∙

research

∙ 04/26/2021

Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts

In this paper we describe a method to tackle data sparsity and create re...

0 Martin Milenkoski, et al. ∙

research

∙ 04/16/2021

OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based Fingerprinting

Many applications require accurate indoor localization. Fingerprint-base...

0 Arthur Gassner, et al. ∙

research

∙ 09/19/2020

Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context

Simulating online recommender system performance is notoriously difficul...

0 Milena Filipovic, et al. ∙

research

∙ 09/10/2020

Momentum-based Gradient Methods in Multi-objective Recommender Systems

Multi-objective gradient methods are becoming the standard for solving m...

0 Blagoj Mitrevski, et al. ∙

research

∙ 09/09/2020

Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm

The goal of fairness in classification is to learn a classifier that doe...

0 Kirtan Padh, et al. ∙

research

∙ 07/06/2020

Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution

Super-resolution (SR) has traditionally been based on pairs of high-reso...

1 Mohammad Saeed Rad, et al. ∙

research

∙ 05/22/2020

T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing

Supporting recommendations with personalized and relevant explanations i...

0 Diego Antognini, et al. ∙

research

∙ 04/30/2020

Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation

In this work, we present a text generation approach with multi-attribute...

0 Giuseppe Russo, et al. ∙

research

∙ 03/31/2020

A Swiss German Dictionary: Variation in Speech and Writing

We introduce a dictionary containing forms of common words in various Sw...

0 Larissa Schmidt, et al. ∙

research

∙ 03/23/2020

Fast Cross-domain Data Augmentation through Neural Sentence Editing

Data augmentation promises to alleviate data scarcity. This is most impo...

0 Guillaume Raille, et al. ∙

research

∙ 12/09/2019

Multi-Gradient Descent for Multi-Objective Recommender Systems

Recommender systems need to mirror the complexity of the environment the...

0 Nikola Milojkovic, et al. ∙

research

∙ 11/30/2019

Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German

This paper presents SwissCrawl, the largest Swiss German text corpus to ...

0 Lucy Linder, et al. ∙

research

∙ 09/25/2019

Multi-Dimensional Explanation of Reviews

Neural models achieved considerable improvement for many natural languag...

0 Diego Antognini, et al. ∙

research

∙ 09/18/2019

Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes

In sequence modeling tasks the token order matters, but this information...

0 Noémien Kocher, et al. ∙

research

∙ 07/29/2019

Benefiting from Multitask Learning to Improve Single Image Super-Resolution

Despite significant progress toward super resolving more realistic image...

3 Mohammad Saeed Rad, et al. ∙

research

∙ 03/28/2019

Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling

State-of-the-art methods for text classification include several distinc...

0 Athanasios Giannakopoulos, et al. ∙

research

∙ 03/23/2019

Expanding the Text Classification Toolbox with Cross-Lingual Embeddings

Most work in text classification and Natural Language Processing (NLP) f...

0 Meryem M'hamdi, et al. ∙

research

∙ 02/26/2019

Structure Tree-LSTM: Structure-aware Attentional Document Encoders

We propose a method to create document representations that reflect thei...

0 Khalil Mrini, et al. ∙

research

∙ 02/21/2019

Overcoming Multi-Model Forgetting

We identify a phenomenon, which we refer to as multi-model forgetting, t...

0 Yassine Benyahia, et al. ∙

research

∙ 02/21/2019

Evaluating the Search Phase of Neural Architecture Search

Neural Architecture Search (NAS) aims to facilitate the design of deep n...

0 Christian Sciuto, et al. ∙

research

∙ 11/01/2018

Embedding Individual Table Columns for Resilient SQL Chatbots

Most of the world's data is stored in relational databases. Accessing th...

0 Bojan Petrovski, et al. ∙

research

∙ 08/25/2018

Churn Intent Detection in Multilingual Chatbot Conversations and Social Media

We propose a new method to detect when users express the intent to leave...

0 Christian Abbet, et al. ∙

research

∙ 02/13/2018

DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation

It is safe to assume that, for the foreseeable future, machine learning,...

0 David Dao, et al. ∙

research

∙ 02/05/2018

Diverse Beam Search for Increased Novelty in Abstractive Summarization

Text summarization condenses a text to a shorter version while retaining...

0 André Cibils, et al. ∙

research

∙ 02/02/2018

Submodularity-inspired Data Selection for Goal-oriented Chatbot Training based on Sentence Embeddings

Goal-oriented (GO) dialogue systems rely on an initial natural language ...

0 Mladen Dimovski, et al. ∙

research

∙ 02/01/2018

Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning

Goal-Oriented (GO) Dialogue Systems, colloquially known as goal oriented...

0 Vladimir Ilievski, et al. ∙

research

∙ 01/16/2018

GitGraph - Architecture Search Space Creation through Frequent Computational Subgraph Mining

The dramatic success of deep neural networks across multiple application...

0 Kamil Bennani-Smires, et al. ∙

research

∙ 01/13/2018

EmbedRank: Unsupervised Keyphrase Extraction using Sentence Embeddings

Keyphrase extraction is the task of automatically selecting a small set ...

0 Kamil Bennani-Smires, et al. ∙

research

∙ 10/30/2017

Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German

The goal of this work is to design a machine translation system for a lo...

0 Pierre-Edouard Honnet, et al. ∙

research

∙ 09/26/2017

Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision

Aspect Term Extraction (ATE) detects opinionated aspect terms in sentenc...

0 Athanasios Giannakopoulos, et al. ∙

research

∙ 09/15/2017

Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets

Aspect Term Extraction (ATE) identifies opinionated aspect terms in text...

0 Athanasios Giannakopoulos, et al. ∙

Claudiu Musat

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