Search Results for author: Florin Brad

Found 8 papers, 4 papers with code

VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web

no code implementations7 Jul 2022 Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu

The DarkWeb represents a hotbed for illicit activity, where users communicate on different market forums in order to exchange goods and services.

Authorship Verification

AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection

1 code implementation30 Jun 2022 Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad

Analyzing the distribution shift of data is a growing research direction in nowadays Machine Learning (ML), leading to emerging new benchmarks that focus on providing a suitable scenario for studying the generalization properties of ML models.

Network Intrusion Detection Unsupervised Anomaly Detection

DATE: Detecting Anomalies in Text via Self-Supervision of Transformers

1 code implementation NAACL 2021 Andrei Manolache, Florin Brad, Elena Burceanu

Leveraging deep learning models for Anomaly Detection (AD) has seen widespread use in recent years due to superior performances over traditional methods.

Anomaly Detection

Neural Approaches for Natural Language Interfaces to Databases: A Survey

no code implementations COLING 2020 Radu Cristian Alexandru Iacob, Florin Brad, Elena-Simona Apostol, Ciprian-Octavian Truic{\u{a}}, Ionel Alexandru Hosu, Traian Rebedea

A natural language interface to databases (NLIDB) enables users without technical expertise to easily access information from relational databases.

Neural Paraphrase Generation using Transfer Learning

no code implementations WS 2017 Florin Brad, Traian Rebedea

Progress in statistical paraphrase generation has been hindered for a long time by the lack of large monolingual parallel corpora.

Machine Translation Natural Language Inference +4

Dataset for a Neural Natural Language Interface for Databases (NNLIDB)

1 code implementation IJCNLP 2017 Florin Brad, Radu Iacob, Ionel Hosu, Traian Rebedea

Progress in natural language interfaces to databases (NLIDB) has been slow mainly due to linguistic issues (such as language ambiguity) and domain portability.


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