1 code implementation • SIGDIAL (ACL) 2022 • Ethan A. Chi, Ashwin Paranjape, Abigail See, Caleb Chiam, Trenton Chang, Kathleen Kenealy, Swee Kiat Lim, Amelia Hardy, Chetanya Rastogi, Haojun Li, Alexander Iyabor, Yutong He, Hari Sowrirajan, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, Christopher D. Manning
We present Chirpy Cardinal, an open-domain social chatbot.
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.
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.
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.
no code implementations • 23 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.
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.