thaihungle / SHMLinks
Source code for Stable Hadamard Memory
☆22Updated 8 months ago
Alternatives and similar repositories for SHM
Users that are interested in SHM are comparing it to the libraries listed below
Sorting:
- Episodic Policy Gradient Training☆16Updated 3 years ago
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- ☆18Updated last year
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆20Updated last year
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆25Updated 4 years ago
- ☆33Updated last year
- ☆18Updated 5 months ago
- ☆13Updated last year
- ☆24Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆33Updated last year
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated last year
- ☆29Updated 2 months ago
- ☆45Updated 2 years ago
- 📰 Must-read papers on Diffusion Models for Text Generation 🔥☆18Updated last year
- ☆46Updated 2 years ago
- ☆34Updated 2 years ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 8 months ago
- Bayesian Attention Modules☆36Updated 5 years ago
- Diffusion Model Improvement Method☆34Updated 2 years ago
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated 2 years ago
- ☆15Updated last year
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated 7 months ago
- Official code for the paper "Attention as a Hypernetwork"☆46Updated last year
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Updated 2 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆18Updated 5 years ago
- ☆52Updated 2 years ago
- ☆16Updated 2 years ago
- ☆107Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- ☆34Updated 2 years ago