TAR
27 papers with code • 0 benchmarks • 1 datasets
Technology Assisted Review
Benchmarks
These leaderboards are used to track progress in TAR
CLEF-TAR
Most implemented papers
TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning
This motivates us to develop a generalized model to detect different types of deepfakes.
On Minimizing Cost in Legal Document Review Workflows
Technology-assisted review (TAR) refers to human-in-the-loop machine learning workflows for document review in legal discovery and other high recall review tasks.
TAR on Social Media: A Framework for Online Content Moderation
Content moderation (removing or limiting the distribution of posts based on their contents) is one tool social networks use to fight problems such as harassment and disinformation.
Euphemistic Phrase Detection by Masked Language Model
WanzhengZhu/Euphemism
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Findings (EMNLP) 2021
It is a well-known approach for fringe groups and organizations to use euphemisms -- ordinary-sounding and innocent-looking words with a secret meaning -- to conceal what they are discussing.
It's All in the Head: Representation Knowledge Distillation through Classifier Sharing
alibaba-miil/headsharingkd
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Such direct methods may be limited in transferring high-order dependencies embedded in the representation vectors, or in handling the capacity gap between the teacher and student models.
TARexp: A Python Framework for Technology-Assisted Review Experiments
Technology-assisted review (TAR) is an important industrial application of information retrieval (IR) and machine learning (ML).
Face Recognition In Children: A Longitudinal Study
Our experiment using YFA and a state-of-the-art, quality-aware face matcher (MagFace) indicates 98. 3% and 94. 9% TAR at 0. 1% FAR over 6 and 36 Months age-gaps, respectively, suggesting that face recognition may be feasible for children for age-gaps of up to three years.
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting
On the other hand, in the forecasting community, general-purpose tree-based regression algorithms (forests, gradient-boosting) have become popular recently due to their ease of use and accuracy.
UniFace: Unified Cross-Entropy Loss for Deep Face Recognition
To bridge this gap, we design a UCE (Unified Cross-Entropy) loss for face recognition model training, which is built on the vital constraint that all the positive sample-to-class similarities shall be larger than the negative ones.
MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction
kaist-dmlab/MG-TAR
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IEEE Transactions on Intelligent Transportation Systems 2023
Due to the continuing colossal socio-economic losses caused by traffic accidents, it is of prime importance to precisely forecast the traffic accident risk to reduce future accidents.
