Enhanced Seq2Seq Autoencoder via Contrastive Learning
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Introduction to ESACL
ESACL, which stands for Enhanced Seq2Seq Autoencoder via Contrastive Learning, is a type of denoising seq2seq autoencoder…
Reformer
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Reformer is an architecture that has been developed to make transformer-based models more efficient. This model replaces dot-product attention with…
DeLighT
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What is DeLighT?
DeLighT is a transformer architecture that aims to improve parameter efficiency by using DExTra, a light-weight transformation…
Inverted Bottleneck BERT
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What is IB-BERT?
IB-BERT stands for Inverted Bottleneck BERT, which is a variation of the popular Bidirectional Encoder Representations from…
Feedback Transformer
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A Feedback Transformer is a type of sequential transformer that utilizes a feedback mechanism to expose all previous representations to…
Pathways Language Model
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PaLM or Pathways Language Model is a new approach to language modeling that enables faster and more efficient training of…
RAG
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RAG, short for Retriever-Augmented Generation is a language generation model that is a combination of pre-trained parametric and non-parametric memories.…
ALBERT
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What is ALBERT?
ALBERT is a transformer architecture that is based on BERT but with fewer parameters. It was designed…
PEGASUS
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What is PEGASUS?
PEGASUS is a transformer-based model for abstractive summarization, which means that it is a tool that can…
Siamese Multi-depth Transformer-based Hierarchical Encoder
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Are you tired of manually reading and comparing long documents to find related content? Look no further than SMITH – the…
RoBERTa
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RoBERTa is a modified version of BERT, a type of machine learning model used for natural language processing. The changes…
Funnel Transformer
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Overview of Funnel Transformer
Funnel Transformer is a type of machine learning model designed to reduce the cost of computation…
Nyströmformer
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What is Nyströmformer?
If you have been following the development of natural language processing (NLP), you probably know about BERT…
XLNet
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XLNet is a type of language model that uses a technique called autoregressive modeling to predict the likelihood of a…
TernaryBERT
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What is TernaryBERT?
TernaryBERT is a type of language model that is based on the Transformer architecture. Its unique feature…
Fastformer
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What is Fastformer?
Fastformer is a new type of Transformer, a type of neural network commonly used in natural language…
Table Pre-training via Execution
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What is TAPEX?
TAPEX is a pre-training approach that equips existing models with table reasoning skills by learning a Neural…
NormFormer
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The NormFormer is a type of Pre-LN transformer that allows for more efficient and effective language processing through the use…
Compressive Transformer
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The Compressive Transformer is a type of neural network that is an extension of the Transformer model. It works by…
RealFormer
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RealFormer is a new type of Transformer-based language model that uses residual attention to improve its performance. It is capable…
DistilBERT
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DistilBERT is an innovative machine learning tool designed to create smaller, faster, and more efficient models based on the architecture…
Sandwich Transformer
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What is a Sandwich Transformer?
A Sandwich Transformer is a type of Transformer architecture that reorders the sublayers to achieve…
DeBERTa
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DeBERTa is an advanced neural language model that aims to improve upon the popular BERT and RoBERTa models. It achieves…
BinaryBERT
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Get To Know BinaryBERT: An Overview of a New Language Model
If you're a tech enthusiast, then you've probably heard…
SC-GPT
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In the world of artificial intelligence, there is a type of neural language model called SC-GPT. This model is unique…
I-BERT
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Have you heard of I-BERT? If you're interested in natural language processing, it's a topic you should know about. I-BERT…
ClipBERT
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Overview of ClipBERT Framework for Video-and-Language Tasks
ClipBERT is a newly developed framework used for end-to-end learning for video-and-language tasks.…
Routing Transformer
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The Routing Transformer: A New Approach to Self-Attention in Machine Learning
Self-attention is a crucial feature in modern machine learning…
Linformer
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Introduction to Linformer
Linformer is a linear Transformer model that resolves the self-attention bottleneck associated with Transformer models. It utilizes…
BART
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BART: A Denoising Autoencoder for Pretraining NLP Models
BART is a powerful tool used for natural language processing (NLP) that…
Switch Transformer
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Switch Transformer is a type of neural network model that simplifies and improves upon Mixture of Experts, a machine learning…
PAR Transformer
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PAR Transformer is a model designed for language processing that has the ability to use fewer self-attention blocks and still…
Extended Transformer Construction
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Extended Transformer Construction, also known as ETC, is an enhanced version of the Transformer architecture that utilizes a new attention…
CodeBERT
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CodeBERT is a special kind of computer model that can help people understand computer code and information written in English.…
MATE
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MATE is a type of Transformer architecture that has been specifically designed to help people model web tables. Its design…
Generative Adversarial Transformer
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GANformer: A Novel Visual Generative Modeling Technique
GANformer is a new way to generate realistic images using machine learning. It's…
BigBird
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Introduction to BigBird
BigBird is one of the latest breakthroughs in natural language processing. It is a transformer-based model that…
ELECTRA
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What is ELECTRA? An Overview of the Transformer with a New Pre-training Approach
ELECTRA is a groundbreaking transformer model that…
SongNet
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Do you love writing songs? Are you looking for a tool to help you detect and improve the format, rhyme,…
GPT-Neo
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GPT-Neo Overview: The AI Language Model You Need to Know About
Language models such as GPT-Neo are becoming increasingly popular…
Adaptively Sparse Transformer
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The Adaptively Sparse Transformer: Understanding this Cutting-Edge Development in AI
If you’ve heard of Transformers in the context of…
CTRL
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CTRL is a machine learning model that uses conditional transformer language to generate text based on specific control codes. It…
Charformer
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Charformer is a new type of model in the field of natural language processing that uses a unique approach to…
AutoTinyBERT
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AutoTinyBERT is an advanced version of BERT, which stands for Bidirectional Encoder Representations from Transformers. BERT is a powerful tool…
Edge-augmented Graph Transformer
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Are you curious about Edge-augmented Graph Transformer (EGT)? This is a new framework that is designed to process graph-structured data,…
PermuteFormer
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Understanding PermuteFormer: A Model with Linear Scaling on Long Sequences
PermuteFormer is a cutting-edge model based on Performer and relative…
MacBERT
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MacBERT: A Transformer-Based Model for Chinese NLP with Modified Masking Strategy
If you're interested in natural language processing (NLP) or…
Subformer
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The Subformer is an advanced machine learning model that employs unique techniques to generate high-quality output. It combines sandwich-style parameter…
Sinkhorn Transformer
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The Sinkhorn Transformer is an advanced type of transformer that uses Sparse Sinkhorn Attention as one of its components. This…
DeeBERT
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DeeBERT: A Gamechanger for NLP
DeeBERT is a method for accelerating BERT inference, which has revolutionized the field of Natural…