activity
20122021
most citedNL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

25 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021★ 25 cited

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122

Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…

cs.NI2018★ 5 cited

CIDOR: Content Distribution and Retrieval in Disaster Networks for Public Protection

Hasan M A Islam, Dmitrij Lagutin, Andrey Lukyanenko +2

Information-Centric Networking (ICN) introduces a paradigm shift from a host centric communication model for Future Internet architectures. It supports the retrieval of a particula…

cs.NI2015

Towards Disruption Tolerant ICN

Hasan M. A. Islam, Andrey Lukyanenko, Sasu Tarkoma +1

Information-Centric Networking (ICN) is a promi- nent topic in current networking research. ICN design signifi- cantly considers the increased demand of scalable and efficient cont…

cs.NI2015

Efficient Cache Availability Management in Information-Centric Networks

Sumanta Saha, Andrey Lukyanenko, Antti Ylä-Jääski

In-network caching is one of the fundamental operations of Information-centric networks (ICN). The default caching strategy taken by most of the current ICN proposals is caching al…

cs.NI2012★ 2 cited

How Penalty Leads to Improvement: a Measurement Study of Wireless Backoff

Dmitriy Kuptsov, Boris Nechaev, Andrey Lukyanenko +1

Despite much theoretical work, different modifications of backoff protocols in 802.11 networks lack empirical evidence demonstrating their real-life performance. To fill the gap we…