| Massive exploration of neural machine translation architectures D Britz, A Goldie, MT Luong, Q Le Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 794 | 2017 |
| Generating high-quality and informative conversation responses with sequence-to-sequence models Y Shao, S Gouws, D Britz, A Goldie, B Strope, R Kurzweil Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 343* | 2017 |
| Recurrent Neural Networks Tutorial D Britz wildml.com, 05-02, 2016 | 185* | 2016 |
| Effective domain mixing for neural machine translation D Britz, Q Le, R Pryzant Proceedings of the second conference on machine translation, 118-126, 2017 | 148 | 2017 |
| Pommerman: A multi-agent playground C Resnick, W Eldridge, D Ha, D Britz, J Foerster, J Togelius, K Cho, ... arXiv preprint arXiv:1809.07124, 2018 | 135 | 2018 |
| Understanding convolutional neural networks for NLP D Britz Denny’s Blog, 2015 | 107 | 2015 |
| JESC: Japanese-English subtitle corpus R Pryzant, Y Chung, D Jurafsky, D Britz Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 75 | 2018 |
| Efficient attention using a fixed-size memory representation D Britz, M Guan, MT Luong Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 52 | 2017 |
| Recurrent neural network tutorial, part 4 implementing a gru/lstm rnn with python and theano D Britz URL http://www. wildml. com/2015/10/recurrent-neural-network-tutorial-part-4 …, 2015 | 50 | 2015 |
| Implementing a CNN for Text Classification in Tensorflow D Britz wildml.com, 2015 | 35 | 2015 |
| Deep learning for chatbots, part 1–introduction D Britz Aufgerufen am 5, 2017, 2016 | 32 | 2016 |
| Attention and memory in deep learning and nlp D Britz Online: http://www. wildml. com/2016/01/attention-and-memory-in-deeplearning …, 2016 | 25 | 2016 |
| Mlbase: A distributed machine learning wrapper A Talwalkar, T Kraska, R Griffith, J Duchi, J Gonzalez, D Britz, X Pan, ... NIPS Big Learning Workshop, 35, 2012 | 19 | 2012 |
| Understanding convolutional neural networks for NLP. 2015 D Britz URL: http://www. wildml. com/2015/11/understanding-convolutionalneural …, 2015 | 11 | 2015 |
| Massive exploration of neural machine translation architectures. CoRR abs/1703.03906 (2017) D Britz, A Goldie, MT Luong, QV Le arXiv preprint arXiv:1703.03906, 2017 | 10 | 2017 |
| Recurrent Neural Networks Tutorial, Part 1–Introduction to RNNs. 2015 D Britz URL https://bit. ly/1PbAMJ4, 0 | 10 | |
| Massive Exploration of Neural Machine Translation Architectures. ArXiv e-prints (March 2017) D Britz, A Goldie, T Luong, Q Le arXiv preprint cs.CL/1703.03906, 2017 | 9 | 2017 |
| Deep learning for chatbots D Britz Part, 2016 | 9 | 2016 |
| Recurrent neural network tutorial, part 4 implementing a GRU/LSTM RNN with Python and Theano, 2015 D Britz URL: https://web. archive. org/web/20211110112626/http://www. wildml. com …, 2022 | 7 | 2022 |
| „Deep Learning for Chatbots. Part 1”. WILDML D Britz Artificial Intelligence, Deep Learning, and NLP 6, 2016 | 7 | 2016 |