NUS Deep Learning Group
This is a group where all NUS deep learning researchers gather. You can share our page here.
Group Members
- Ritchie Ng
- NExT NUS
- Ilija Ilievski
- Under the supervision of Jiashi Feng and Shuicheng Yan
- He Xiangnan
- Research Fellow with Tat-seng Chua
- Previously at Google Research and Microsoft.
- Tat-seng Chua
- NExT NUS
- Alexandre Thiery
- Assistant Professor, Probability and Applied Statistics NUS
- Animesh Prasad
- WING NUS
- Muthu Chandrasekaran
- WING NUS
- Wenqiang Lei
- WING NUS
- Kan Min-Yen
- WING NUS
Upcoming Talks
Pending
Past Talks
- Deep Learning for Self-Driving Cars and Medical Diagnostics
- Speaker: Marek Bardoński, Senior Deep Learning Research Engineer, NVIDIA Switzerland
- Host: Ritchie Ng
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
- Speaker: Ilija Ilievski at NVIDIA AI-Conference
- Deep Reinforcement Learning for Optimal Order Placement in a Limit Order Book
- Speaker: Ilija Ilievski at QuantCon
- Efficient Hyperparameter Optimization
- Speaker: Ritchie Ng
- Event: REWORK Deep Learning Summit
- Deep Reinforcement Learning for Optimal Order Placement in a Limit Order Book
- Speaker: Ilija Ilievski
- Event: REWORK Deep Learning Finance Summit Singapore
Latest Papers
- Multimodal Learning and Reasoning for Visual Question Answering
- Authors: Ilija Ilievski and Jiashi Feng
- Proceedings of NIPS 2017
- Neural Optimizers with Hypergradients for Tuning Parameter-Wise Learning Rates
- Authors: Jie Fu, Ritchie Ng, Danlu Chen, Ilija Ilievski, Christopher Pal, Tat-Seng Chua
- AutoML, ICML 2017
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
- Authors: Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker
- Proceedings of AAAI 2017
- DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks
- Authors: Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua
- Proceedings of IJCAI 2016
Useful Tools
- The Incredible PyTorch
- A curated list of tutorials, papers, projects, communities and more relating to PyTorch.
- Creator: Ritchie Ng
- A curated list of tutorials, papers, projects, communities and more relating to PyTorch.
- DLAMI
- A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.
- Creator: Ritchie Ng
- A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.
- Gloqo
- Search for code for deep learning and machine learning research papers on arXiv, OpenReview and others.
- Creator: Ritchie Ng
- Search for code for deep learning and machine learning research papers on arXiv, OpenReview and others.
Implementations
- Residual Networks, TensorFlow
- Creator: Ritchie Ng
- Wide Residual Networks, TensorLayer
- Creator: Ritchie Ng
Courses
Please see the Courses page for listings of NUS related courses and alumni of those courses.
Adding Any Updates
For group members, feel free to push any updates regarding our new members, talks, papers and projects.
Joining NUS Deep Learning Group
Feel free to raise an issue to join our group. We are open to current students (undergraduate and postgraduate), postdoctoral fellows, professors and any alumni (っ◔‿◔)っ