Gladys-Zhao / mRNN-mLSTMLinks
Code for ICML 2020 paper: Do RNN and LSTM have Long Memory?
☆17Updated 4 years ago
Alternatives and similar repositories for mRNN-mLSTM
Users that are interested in mRNN-mLSTM are comparing it to the libraries listed below
Sorting:
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆15Updated 6 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 6 years ago
- ☆40Updated 7 years ago
- ☆23Updated 3 years ago
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆78Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- ☆33Updated 4 years ago
- Recursive Bayesian Networks☆11Updated 7 months ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆50Updated 6 months ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 7 months ago
- ☆24Updated last year
- Spectral Attention Autoregressive Model (SAAM)☆16Updated 3 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 7 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated 2 years ago
- ☆59Updated 5 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago
- ☆12Updated 3 years ago
- ☆24Updated 5 years ago
- Pytorch implementation of "Block Recurrent Transformers" (Hutchins & Schlag et al., 2022)☆85Updated 3 years ago
- ☆21Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 5 years ago
- Virtual Adversarial Training (VAT) techniques in PyTorch☆17Updated 3 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆51Updated 4 years ago
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆15Updated 11 months ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated last year
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆59Updated 5 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Updated 4 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆63Updated 3 years ago
- ☆64Updated 5 years ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated 2 years ago