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 Explicit Sparse Transformer☆62Updated last year
- 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
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- Relative Positional Encoding for Transformers with Linear Complexity☆63Updated 3 years ago
- ☆36Updated 4 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆28Updated 4 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆39Updated 4 years ago
- Code to reproduce the results for Compositional Attention☆60Updated 2 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated last year
- Variational Transformers for Diverse Response Generation☆81Updated 10 months ago
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 4 years ago
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation☆25Updated 4 years ago
- ☆33Updated 4 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆61Updated 3 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆56Updated 3 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆100Updated 2 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆60Updated 4 years ago
- Implementation of Sparsemax activation in Pytorch☆160Updated 5 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 7 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- Axial Positional Embedding for Pytorch☆81Updated 3 months ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 3 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- ☆51Updated 2 years ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆33Updated last year