Recent Advances in Recurrent Neural Networks
| Dozent | Dr. Sebastian Otte |
| Zeit | Fr. 10 c.t. bis 12 Uhr |
| Umfang | 3 LP |
| Beginn | 18.10.2019 |
| Ort | Informatik, Sand 14, PC-Poolraum C 412 |
| Ilias | https://ovidius.uni-tuebingen.de/ilias3/goto.php?target=crs_2020915 |
Seminar topics
- Introduction to Spiking Neural Networks
- Recent Advances in Neuromorphic Hardware
- FastGRNN
- Hardware Implementations of LSTMs
- Deep Echo State Networks
- RNNs and Chaos
- Temporal Convolution vs. RNNs
- Backpropagation through time in Spiking Neural Networks
- Backpropagation through time and the brain
- Gated Orthogonal Recurrent Units
- Tensorized LSTMs
- h-detach: Modifying the LSTM Gradient Towards Better Optimization
- Cortical microcircuits as gated-recurrent neural networks
- Non-normal Recurrent Neural Networks
- Reversible RNNs
- State-Regularized Recurrent Neural Networks
- Quantifying Robustness of Recurrent Neural Networks
- Ordered Neurons: Integrating Tree Structures Into RNNs
- Fast Interactive Object Annotation with Curve-GCN
- Speech Synthesis from Neural Decoding of Spoken Sentence
- Streaming End-To-End Speech Recognition for Mobile Devices
- Solving Rubik's Cube with a Robot Hand
- AlphaStar: Mastering the Real-Time Strategy Game StarCraft II