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neural architecture search


neural architecture search


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# Title Author Topic
1 A Survey on Neural Architecture Search Martin Wistuba 1170
2 Neural Architecture Search Thomas Elsken, Jan Hendrik Metzen, Frank Hutter 1182
3 AutoML: Automated Machine Learning Sergey Levine 1189
5 Neural Architecture search Thomas Elskin 1304
6 Learning neural network architectures Eugenio Culurciello 1182
7 Learning neural network architectures Eugenio Culurciello 1182
8 Man’s Search for the most accurate Neural Network Architecture Ankit Sachan 1182
9 Neural Architecture Search Quoc Le 1182
10 Neural architecture search with reinforcement learning Barret Zoph, Quoc V Le 9999
11 Neural Architecture Search (NAS)- The Future of Deep Learning Not Available 999
12 Everything you need to know about AutoML and Neural Architecture Search George Seif 1181
13 Taxonomy of Methods for Deep Meta Learning Carlos E. Perez 713
14 Using Machine Learning to Explore Neural Network Architecture Quoc Le, Barret Zoph 1183
15 Efficient Neural Architecture Search (ENAS) in PyTorch carpedm20 1182
16 The Evolved Transformer – Enhancing Transformer with Neural Architecture Search | Lyrn.AI Not Available None
17 Auto-Keras and AutoML: A Getting Started Guide Adrian Rosebrock 1559
18 Not Available None
19 Automated Machine Learning in Python - Heartbeat Not Available None
20 The Evolved Transformer - Enhancing Transformer with Neural Architecture Search Not Available None
21 Randomly wired neural networks and state-of-the-art accuracy? Yes it works George Seif 1193
22 Building an image caption generator with Deep Learning in Tensorflow Cole Murray 1189
23 Automatic Machine Learning (AutoML) and How To Speed It Up Frank Hutter 1559
24 Shift-Reduce CCG Parsing using Neural Network Models Bharat Ram Ambati, Tejaswini Deoskar, Mark Steedman 9999
25 On-Device Conversational Modeling with TensorFlow Lite Sujith Ravi 731
26 Neural Information Retrieval: At the End of the Early Years Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md Mustafizu... 1183
27 Introduction to Adversarial Autoencoders Not Available None
28 A simple neural network with Python and Keras Emmanuelle Rieuf 1181
29 MorphNet: Towards Faster and Smaller Neural Networks Andrew Poon 1182
30 AutoML and the Rise of Advanced Machine Learning Platforms Not Available None
31 Deep Learning applied to Image and Text matching Afroze Ibrahim Baqapuri 9999
32 Auto-Keras Haifeng Jin, Qingquan Song, Xia Hu 1180
33 Transformer with Python and TensorFlow 2.0 – Encoder & Decoder Not Available None
34 Language Model Marta R. Costa-jussa 1195
35 Neural Machine Translation : Superior Seq2seq Models With OpenNMT Akash Singh 1197
36 Recurrent Neural Networks cheatsheet Shervine Amidi 1190
37 Transformer with Python and TensorFlow 2.0 – Attention Layers Not Available None
38 Reinforcement Learning and Optimal Control: A Selective Overview Dimitri P. Bertsekas 1336
39 Quasi-Recurrent Neural Networks James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher 9999
40 A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks Quoc V. Le 1181
41 Introduction to Transformers Architecture Not Available None
42 Building Cross-Lingual End-to-End Product Search with Tensorflow Han Xiao 1189
43 AutoML for large scale image classification and object detection Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc Le 713
45 Towards Automatically-Tuned Deep Neural Networks Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenb... 1181
46 A Review of 40 Years of Cognitive Architecture Research: Focus on Perception, Attention, Learning and Applications Iuliia Kotseruba, Oscar J Avella Gonzalez, John K Tsotsos 9999
47 Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training Majid Yazdani, James Henderson 9999
48 Deep Learning Research Directions: Computational Efficiency — Tim Dettmers Not Available None
49 Implementing CycleGAN Using Python Not Available None
50 Deep Learning in a Nutshell: Sequence Learning Not Available None