|
About the pytorch category
|
|
1
|
103
|
May 21, 2020
|
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Bidirectional Encoder Representations from Transformers (BERT)
|
|
2
|
65
|
January 14, 2021
|
|
Sequence Models
|
|
12
|
294
|
January 14, 2021
|
|
Geometry and Linear Algebraic Operations
|
|
2
|
93
|
January 12, 2021
|
|
Anchor Boxes
|
|
8
|
82
|
January 13, 2021
|
|
Multiscale Object Detection
|
|
3
|
46
|
January 13, 2021
|
|
Pooling
|
|
3
|
132
|
January 11, 2021
|
|
Concise Softmax Regression
|
|
14
|
317
|
January 10, 2021
|
|
Preface
|
|
3
|
322
|
January 8, 2021
|
|
Stochastic Gradient Descent
|
|
3
|
154
|
January 6, 2021
|
|
Self-Attention and Positional Encoding
|
|
1
|
39
|
December 30, 2020
|
|
Multi-Head Attention
|
|
1
|
42
|
December 29, 2020
|
|
Bahdanau Attention
|
|
1
|
85
|
September 17, 2020
|
|
Attention Pooling: Nadaraya-Watson Kernel Regression
|
|
1
|
40
|
December 23, 2020
|
|
Attention Cues
|
|
1
|
62
|
December 22, 2020
|
|
Automatic Parallelism
|
|
1
|
24
|
January 4, 2021
|
|
Machine Translation and the Dataset
|
|
5
|
94
|
January 4, 2021
|
|
Sequence to Sequence
|
|
6
|
117
|
January 3, 2021
|
|
Training on Multiple GPUs
|
|
1
|
33
|
January 2, 2021
|
|
Transformer
|
|
9
|
182
|
October 22, 2020
|
|
Generative Adversarial Networks
|
|
2
|
135
|
December 29, 2020
|
|
The Object Detection Dataset
|
|
1
|
48
|
December 24, 2020
|
|
Layers and Blocks
|
|
6
|
214
|
December 23, 2020
|
|
Single Shot Multibox Detection (SSD)
|
|
1
|
32
|
December 23, 2020
|
|
Fully Convolutional Networks (FCN)
|
|
1
|
56
|
December 19, 2020
|
|
Linear Regression from Scratch
|
|
42
|
980
|
December 17, 2020
|
|
Linear Regression
|
|
17
|
353
|
December 17, 2020
|
|
Attention Scoring Functions
|
|
3
|
142
|
December 16, 2020
|
|
Networks Using Blocks (VGG)
|
|
9
|
223
|
December 9, 2020
|
|
Dropout
|
|
31
|
522
|
December 7, 2020
|
