Search Results for author: Swee Kiat Lim

Found 6 papers, 1 papers with code

Visualizing Weights

no code implementations Distill 2021 Chelsea Voss, Nick Cammarata, Gabriel Goh, Michael Petrov, Ludwig Schubert, Ben Egan, Swee Kiat Lim, Chris Olah

Trying to understand artificial neural networks also has a lot in common with neuroscience, which tries to understand biological neural networks.

Thread: Circuits

no code implementations Distill 2020 Nick Cammarata, Shan Carter, Gabriel Goh, Chris Olah, Michael Petrov, Ludwig Schubert, Chelsea Voss, Ben Egan, Swee Kiat Lim

To facilitate exploration of this direction, Distill is inviting a “thread” of short articles on circuits, interspersed with critical commentary by experts in adjacent fields.

Few-Shot Regression via Learned Basis Functions

no code implementations ICLR Workshop LLD 2019 Yi Loo, Swee Kiat Lim, Gemma Roig, Ngai-Man Cheung

We show that our model outperforms the current state of the art meta-learning methods in various regression tasks.

Few-Shot Learning regression

DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN

no code implementations23 Aug 2018 Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici

To the best of our knowledge, our method is the first data augmentation technique focused on improving performance in unsupervised anomaly detection.

Data Augmentation Generative Adversarial Network +1

MalwareTextDB: A Database for Annotated Malware Articles

no code implementations ACL 2017 Swee Kiat Lim, Aldrian Obaja Muis, Wei Lu, Chen Hui Ong

Cybersecurity risks and malware threats are becoming increasingly dangerous and common.

Cannot find the paper you are looking for? You can Submit a new open access paper.