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Reformer: The Efficient Transformer | Papers With Code
Reformer: The Efficient Transformer | Papers With Code

performance · Issue #75 · lucidrains/reformer-pytorch · GitHub
performance · Issue #75 · lucidrains/reformer-pytorch · GitHub

Applying and Adapting the Reformer as a Computationally Efficient Approach to the SQuAD 2.0 Question-Answering Task
Applying and Adapting the Reformer as a Computationally Efficient Approach to the SQuAD 2.0 Question-Answering Task

ICLR 2020: Efficient NLP - Transformers | ntentional
ICLR 2020: Efficient NLP - Transformers | ntentional

The Reformer - Pushing the limits of language modeling
The Reformer - Pushing the limits of language modeling

GLU Variants Improve Transformer | Papers With Code
GLU Variants Improve Transformer | Papers With Code

Probabilistic Forecasting through Reformer Conditioned Normalizing Flows
Probabilistic Forecasting through Reformer Conditioned Normalizing Flows

ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer

Illustrating the Reformer - KDnuggets
Illustrating the Reformer - KDnuggets

NLP Newsletter: Reformer, DeepMath, ELECTRA, TinyBERT for Search, VizSeq, Open-Sourcing ML,… | by elvis | DAIR.AI | Medium
NLP Newsletter: Reformer, DeepMath, ELECTRA, TinyBERT for Search, VizSeq, Open-Sourcing ML,… | by elvis | DAIR.AI | Medium

GitHub - cerebroai/reformers: Efficient Transformers for research, PyTorch and Tensorflow using Locality Sensitive Hashing
GitHub - cerebroai/reformers: Efficient Transformers for research, PyTorch and Tensorflow using Locality Sensitive Hashing

ICLR 2020: Efficient NLP - Transformers | ntentional
ICLR 2020: Efficient NLP - Transformers | ntentional

Profile of lucidrains · PyPI
Profile of lucidrains · PyPI

reformer · GitHub Topics · GitHub
reformer · GitHub Topics · GitHub

Reformer: The Efficient Transformer – Google AI Blog
Reformer: The Efficient Transformer – Google AI Blog

reformer · GitHub Topics · GitHub
reformer · GitHub Topics · GitHub

ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer

The Reformer - Pushing the limits of language modeling
The Reformer - Pushing the limits of language modeling

Reformer: The Efficient Transformer", Anonymous et al 2019 {G} [handling sequences up to L=64k on 1 GPU] : r/MachineLearning
Reformer: The Efficient Transformer", Anonymous et al 2019 {G} [handling sequences up to L=64k on 1 GPU] : r/MachineLearning

Reformer: The Efficient Transformer | DeepAI
Reformer: The Efficient Transformer | DeepAI

D] Video Analysis - Reformer: The Efficient Transformer : r/MachineLearning
D] Video Analysis - Reformer: The Efficient Transformer : r/MachineLearning

reformer · GitHub Topics · GitHub
reformer · GitHub Topics · GitHub

Model Zoo - reformer-pytorch PyTorch Model
Model Zoo - reformer-pytorch PyTorch Model

Reformer explained (Paper + 🤗Hugging Face code) - YouTube
Reformer explained (Paper + 🤗Hugging Face code) - YouTube

Albert Gu on Twitter: "(1.2/n) SSMs are easy to use! We release a PyTorch layer that maps (batch, length, dim) -> (batch, length, dim). S4 is a drop-in for CNNs/RNNs/Transformers, and is
Albert Gu on Twitter: "(1.2/n) SSMs are easy to use! We release a PyTorch layer that maps (batch, length, dim) -> (batch, length, dim). S4 is a drop-in for CNNs/RNNs/Transformers, and is

The Reformer - Pushing the limits of language modeling
The Reformer - Pushing the limits of language modeling

reformer · GitHub Topics · GitHub
reformer · GitHub Topics · GitHub

reformer · GitHub Topics · GitHub
reformer · GitHub Topics · GitHub