no code implementations • 7 Sep 2023 • Mauro DL Tosi, Martin Theobald
Recently, it has been shown that the convergence of asynchronous SGD (ASGD) will always be faster than mini-batch SGD.
no code implementations • 19 May 2023 • Mauro Dalle Lucca Tosi, Martin Theobald
One of the main challenges of OL is the inherent presence of concept drifts, which are commonly defined as unforeseeable changes in the statistical properties of an incoming data stream over time.
no code implementations • 19 Dec 2022 • Alessandro Temperoni, Maria Biryukov, Martin Theobald
Relation extraction (RE) is a sub-discipline of information extraction (IE) which focuses on the prediction of a relational predicate from a natural-language input unit (such as a sentence, a clause, or even a short paragraph consisting of multiple sentences and/or clauses).
no code implementations • 12 Dec 2022 • Jingjing Xu, Maria Biryukov, Martin Theobald, Vinu Ellampallil Venugopal
Answering complex questions over textual resources remains a challenge, particularly when dealing with nuanced relationships between multiple entities expressed within natural-language sentences.
1 code implementation • 18 Nov 2022 • Mauro D. L. Tosi, Vinu E. Venugopal, Martin Theobald
Online learning (OL) from data streams is an emerging area of research that encompasses numerous challenges from stream processing, machine learning, and networking.
no code implementations • 22 Feb 2022 • Maciej Skorski, Alessandro Temperoni, Martin Theobald
In this work, we improve upon the guarantees for sparse random embeddings, as they were recently provided and analyzed by Freksen at al. (NIPS'18) and Jagadeesan (NIPS'19).
no code implementations • 20 Apr 2020 • Maciej Skorski, Alessandro Temperoni, Martin Theobald
The proper initialization of weights is crucial for the effective training and fast convergence of deep neural networks (DNNs).
2 code implementations • 1 Jan 2020 • Vinu E. Venugopal, Martin Theobald, Samira Chaychi, Amal Tawakuli
Distributed Stream Processing Systems (DSPSs) are among the currently most emerging topics in data management, with applications ranging from real-time event monitoring to processing complex dataflow programs and big data analytics.
Distributed, Parallel, and Cluster Computing Systems and Control Systems and Control
no code implementations • TACL 2016 • Dat Ba Nguyen, Martin Theobald, Gerhard Weikum
Methods for Named Entity Recognition and Disambiguation (NERD) perform NER and NED in two separate stages.