paper-with-me

Methods

Rendezvous 6 Static Word Embeddings 5 Vision Transformers 5 Data Parallel Methods 4 Data Parallel Methods 4 Data Parallel Methods 4 Fine-Tuning 4 Lane Detection Models 4 Output Functions 4 Replicated Data Parallel 4 Topic Embeddings 4 3D Face Mesh Models 3 3D Object Detection Models 3 Asynchronous Data Parallel 3 Asynchronous Data Parallel 3 Asynchronous Pipeline Parallel 3 Asynchronous Pipeline Parallel 3 Asynchronous Pipeline Parallel 3 Attention Mechanisms 3 Attention Modules 3 Autoencoding Transformers 3 Autoencoding Transformers 3 Autoencoding Transformers 3 Autoregressive Transformers 3

컬렉션: Recurrent Neural Networks · 해제

LSTM

Long Short-Term Memory
1997년 · 논문 5,448편
Recurrent Neural Networks

GRU

Gated Recurrent Unit
2000년 · 논문 683편
Recurrent Neural Networks

ConvLSTM

2000년 · 논문 145편
Recurrent Neural Networks

Residual GRU

2000년 · 논문 66편
Recurrent Neural Networks

AWD-LSTM

ASGD Weight-Dropped LSTM
2000년 · 논문 52편
Recurrent Neural Networks

SRU

2000년 · 논문 16편
Recurrent Neural Networks

SNAIL

Simple Neural Attention Meta-Learner
2000년 · 논문 11편
Recurrent Neural Networks

LMU

Legendre Memory Unit
2000년 · 논문 9편
Recurrent Neural Networks

mLSTM

Multiplicative LSTM
2000년 · 논문 7편
Recurrent Neural Networks

UORO

Unbiased Online Recurrent Optimization
2000년 · 논문 6편
Recurrent Neural Networks

CRF-RNN

2000년 · 논문 4편
Recurrent Neural Networks

Unitary RNN

2000년 · 논문 3편
Recurrent Neural Networks

Mogrifier LSTM

2000년 · 논문 2편
Recurrent Neural Networks

RBPN

Recurrent Back Projection Network
2000년 · 논문 2편
Recurrent Neural Networks

SHA-RNN

Single Headed Attention RNN
2000년 · 논문 2편
Recurrent Neural NetworksLanguage Models

SRU++

2000년 · 논문 2편
Recurrent Neural Networks
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