Search Results for author:
Found 9 papers, 5 papers with code
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection
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.
Ranked #5 on
Unsupervised Anomaly Detection
on AnoShift
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers
Leveraging deep learning models for Anomaly Detection (AD) has seen widespread use in recent years due to superior performances over traditional methods.
Ranked #1 on
Anomaly Detection
on AG News
Dataset for a Neural Natural Language Interface for Databases (NNLIDB)
Progress in natural language interfaces to databases (NLIDB) has been slow mainly due to linguistic issues (such as language ambiguity) and domain portability.
Time Series Anomaly Detection using Diffusion-based Models
Our models outperform the baselines on synthetic datasets and are competitive on real-world datasets, illustrating the potential of diffusion-based methods for AD in multivariate time series.
Rethinking the Authorship Verification Experimental Setups
One of the main drivers of the recent advances in authorship verification is the PAN large-scale authorship dataset.
Neural Paraphrase Generation using Transfer Learning
Progress in statistical paraphrase generation has been hindered for a long time by the lack of large monolingual parallel corpora.
Natural Language Interface for Databases Using a Dual-Encoder Model
We propose a sketch-based two-step neural model for generating structured queries (SQL) based on a user{'}s request in natural language.
Neural Approaches for Natural Language Interfaces to Databases: A Survey
A natural language interface to databases (NLIDB) enables users without technical expertise to easily access information from relational databases.
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web
The DarkWeb represents a hotbed for illicit activity, where users communicate on different market forums in order to exchange goods and services.
