bdusell / stack-attention
Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"
☆17Updated 10 months ago
Alternatives and similar repositories for stack-attention:
Users that are interested in stack-attention are comparing it to the libraries listed below
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- ☆18Updated 8 months ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated this week
- ☆32Updated last year
- Official code for the paper "Attention as a Hypernetwork"☆23Updated 7 months ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- ☆24Updated 4 months ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- Code for "The Expressive Power of Low-Rank Adaptation".☆19Updated 9 months ago
- Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"☆13Updated 3 months ago
- ☆13Updated last month
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]☆14Updated last year
- ☆11Updated last year
- ☆14Updated last year
- Xmixers: A collection of SOTA efficient token/channel mixers☆12Updated 2 months ago
- Official Code Repository for the paper "Key-value memory in the brain"☆20Updated last week
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated 7 months ago
- ☆22Updated 3 years ago
- Blog post☆16Updated 11 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆25Updated 9 months ago
- Directed masked autoencoders☆14Updated 2 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Efficient Scaling laws and collaborative pretraining.☆13Updated this week
- ☆13Updated 2 years ago
- Recursive Bayesian Networks☆11Updated 2 months ago
- [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers☆11Updated last month
- Awesome Triton Resources☆19Updated last month
- PyTorch implementation for PaLM: A Hybrid Parser and Language Model.☆10Updated 5 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics (AAAI 2022)☆14Updated 2 years ago