princeton-nlp / DataMUXLinks
[NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
☆60Updated 2 years ago
Alternatives and similar repositories for DataMUX
Users that are interested in DataMUX are comparing it to the libraries listed below
Sorting:
- 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
- GPT, but made only out of MLPs☆89Updated 4 years ago
- ☆95Updated 2 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 3 years ago
- PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World [ACL 2021]☆57Updated 3 years ago
- ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS…☆20Updated 3 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last month
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 4 years ago
- codebase for the SIMAT dataset and evaluation☆38Updated 3 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
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated last year
- Trains Transformer model variants. Data isn't shuffled between batches.☆143Updated 2 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- A variant of Transformer-XL where the memory is updated not with a queue, but with attention☆49Updated 5 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 4 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆74Updated 4 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆28Updated 4 years ago
- Pytorch library for factorized L0-based pruning.☆45Updated last year
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆62Updated 3 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
- [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion☆40Updated 4 years ago
- Code for the paper "Query-Key Normalization for Transformers"☆45Updated 4 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- ☆21Updated 2 years ago
- ☆13Updated 3 years ago
- ☆19Updated 3 years ago