yaohungt / TransformerDissection
[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
- Axial Positional Embedding for Pytorch☆78Updated 2 months ago
- Relative Positional Encoding for Transformers with Linear Complexity☆63Updated 3 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆60Updated 3 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆59Updated 4 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆56Updated 3 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- Pytorch implementation of "Block Recurrent Transformers" (Hutchins & Schlag et al., 2022)☆84Updated 2 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆28Updated 4 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆99Updated 2 years ago
- ☆33Updated 4 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 4 years ago
- code for Explicit Sparse Transformer☆60Updated last year
- Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"☆88Updated 4 years ago
- Code to reproduce the results for Compositional Attention☆60Updated 2 years ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆34Updated last year
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated last year
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆104Updated 3 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- 基于Transformer的单模型、多尺度的VAE模型☆55Updated 3 years ago
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation☆25Updated 4 years ago
- 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
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆45Updated 4 years ago