archinetai / vat-pytorchLinks
Virtual Adversarial Training (VAT) techniques in PyTorch
☆17Updated 3 years ago
Alternatives and similar repositories for vat-pytorch
Users that are interested in vat-pytorch are comparing it to the libraries listed below
Sorting:
- Code for the paper "Query-Key Normalization for Transformers"☆47Updated 4 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated 2 months ago
- Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Tra…☆32Updated 3 years ago
- (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.☆21Updated 3 years ago
- “Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition” (EMNLP 2022)☆16Updated 2 years ago
- ☆11Updated 2 months ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆46Updated 4 years ago
- Directed masked autoencoders☆14Updated 2 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- ☆32Updated last year
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- ☆23Updated 11 months ago
- This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Pr…☆25Updated 3 years ago
- Unofficial implementation of paper : Exploring the Space of Key-Value-Query Models with Intention☆12Updated 2 years ago
- Pretraining summarization models using a corpus of nonsense☆13Updated 3 years ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆17Updated last year
- ☆27Updated last month
- ☆20Updated last year
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆29Updated 2 weeks ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- Code for the PAPA paper☆27Updated 2 years ago
- HGRN2: Gated Linear RNNs with State Expansion☆54Updated last year
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆23Updated 5 months ago
- [EMNLP 2022] Language Model Pre-Training with Sparse Latent Typing☆14Updated 2 years ago
- ☆13Updated 2 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆57Updated 4 years ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago