yaohungt / TransformerDissectionLinks
[EMNLP'19] Summary for Transformer Understanding
☆53Updated 5 years ago
Alternatives and similar repositories for TransformerDissection
Users that are interested in TransformerDissection are comparing it to the libraries listed below
Sorting:
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- code for Explicit Sparse Transformer☆62Updated last year
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆60Updated 4 years ago
- Code to reproduce the results for Compositional Attention☆60Updated 2 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆28Updated 4 years ago
- Variational Transformers for Diverse Response Generation☆81Updated 11 months ago
- Relative Positional Encoding for Transformers with Linear Complexity☆64Updated 3 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆56Updated 3 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆61Updated 3 years ago
- This is a code repository for the ACL 2022 paper "ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generati…☆33Updated 2 years ago
- ☆22Updated 4 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆100Updated 2 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"☆148Updated 6 years ago
- ☆33Updated 4 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 7 years ago
- Axial Positional Embedding for Pytorch☆81Updated 4 months ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆40Updated 4 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated last year
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆118Updated 4 years ago
- ☆20Updated 5 years ago
- Code for EMNLP 2020 paper CoDIR☆41Updated 2 years ago
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation☆25Updated 4 years ago
- A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.☆85Updated last year
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago