libeineu / ODE-TransformerLinks
This is a code repository for the ACL 2022 paper "ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation", which redesigns the Transformer architecture from the ODE perspective via using high-order ODE solvers to enhance the residual connections.
☆34Updated 2 years ago
Alternatives and similar repositories for ODE-Transformer
Users that are interested in ODE-Transformer are comparing it to the libraries listed below
Sorting:
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated last year
- Language modeling via stochastic processes. Oral @ ICLR 2022.☆138Updated 2 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆57Updated 4 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆60Updated 5 years ago
- ☆31Updated 2 years ago
- ☆97Updated 2 years ago
- FairSeq repo with Apollo optimizer☆114Updated last year
- ☆36Updated last year
- ☆29Updated 3 years ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆24Updated 4 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆41Updated 4 years ago
- ☆51Updated 2 years ago
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Updated last year
- Code for paper Fully Hyperbolic Neural Networks☆79Updated 2 years ago
- ☆33Updated 4 years ago
- [ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Pr…☆24Updated last year
- A probabilitic model for contextual word representation. Accepted to ACL2023 Findings.☆24Updated last year
- Complexity Based Prompting for Multi-Step Reasoning☆17Updated 2 years ago
- Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces☆58Updated 4 years ago
- Efficient Transformers with Dynamic Token Pooling☆62Updated 2 years ago
- Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)☆73Updated 3 years ago
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆48Updated 3 years ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆73Updated 3 years ago
- Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃☆114Updated 2 years ago
- Retrieval as Attention☆83Updated 2 years ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆23Updated 4 months ago
- [NeurIPS 2022]MorphTE: Injecting Morphology in Tensorized Embeddings☆17Updated 2 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- Rationales for Sequential Predictions☆40Updated 3 years ago
- This package implements THOR: Transformer with Stochastic Experts.☆65Updated 3 years ago