1. ANN-Benchmarks: A benchmarking tool for approximate nearest neighbor algorithms
2. Samy Bengio Krzysztof Dembczynski Thorsten Joachims Marius Kloft and Manik Varma. 2019. Extreme classification (dagstuhl seminar 18291). In Dagstuhl Reports Vol. 8. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. Samy Bengio Krzysztof Dembczynski Thorsten Joachims Marius Kloft and Manik Varma. 2019. Extreme classification (dagstuhl seminar 18291). In Dagstuhl Reports Vol. 8. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
3. Slide: In defense of smart algorithms over hardware acceleration for large-scale deep learning systems;Chen Beidi;Proceedings of Machine Learning and Systems,2020
4. Beidi Chen and Anshumali Shrivastava. 2018. Densified winner take all (WTA) hashing for sparse datasets. In Uncertainty in artificial intelligence. Beidi Chen and Anshumali Shrivastava. 2018. Densified winner take all (WTA) hashing for sparse datasets. In Uncertainty in artificial intelligence.
5. Matt W Gardner and SR Dorling . 1998. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences. Atmospheric environment 32, 14-15 ( 1998 ), 2627–2636. Matt W Gardner and SR Dorling. 1998. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences. Atmospheric environment 32, 14-15 (1998), 2627–2636.