PyTorch: An Imperative Style, High-Performance Deep Learning Library
Original
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, et al · 1912
Earlier work this paper cites.
ρ \rho - σ \sigma - π \pi Analysis. A Method for the Correlation of Biological Activity and Chemical Structure
Corwin. Hansch and Toshio. Fujita. 1964 · 1964
Earlier work this paper cites.
Long Short-term Memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Scaling Laws for Neural Language Models
Original
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2001
Earlier work this paper cites.
Active Learning with Support Vector Machines in the Drug Discovery Process
Manfred K. Warmuth, Jun Liao, Gunnar Rätsch, Michael Mathieson, Santosh Putta, and Christian Lemmen. 2003 · 2003
Earlier work this paper cites.
Optimizing feedforward artificial neural network architecture
PG Benardos and G-C Vosniakos. 2007 · 2007
Earlier work this paper cites.
Quantitative Structure–Property Relationship Modeling of Diverse Materials Properties
Tu Le, V. Chandana Epa, Frank R. Burden, and David A. Winkler. 2012 · 2012
Earlier work this paper cites.
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . ACL, 1724–1734
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell. 2014 · 2014
Earlier work this paper cites.
Genetic algorithm for neural network architecture optimization. In 2016 3rd International conference on logistics operations management (GOL) . IEEE Computer Society, 1–4
Mohammed Amine Janati Idrissi, Hassan Ramchoun, Youssef Ghanou, and Mohamed Ettaouil. 2016 · 2016
Earlier work this paper cites.
Mastering the game of Go with deep neural networks and tree search
David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, et al · 2016
Earlier work this paper cites.
Clipper: A Low-Latency Online Prediction Serving System. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) . USENIX Association, 613–627
Daniel Crankshaw, Xin Wang, Guilio Zhou, Michael J. Franklin, Joseph E. Gonzalez, and Ion Stoica. 2017 · 2017
Earlier work this paper cites.
The Exascale Computing Project
Paul Messina. 2017 · 2017
Earlier work this paper cites.
Towards unified data and lifecycle management for deep learning. In 2017 IEEE 33rd International Conference on Data Engineering (ICDE) . IEEE Computer Society, 571–582
Hui Miao, Ang Li, Larry S Davis, and Amol Deshpande. 2017 · 2017
Earlier work this paper cites.
graph2vec: Learning distributed representations of graphs
Original
Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu, and Shantanu Jaiswal. 2017 · 2017
Earlier work this paper cites.
Attention is All you Need. In Advances in Neural Information Processing Systems , I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
Rafael Gómez-Bombarelli, Jennifer N. Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, et al · 2018
Earlier work this paper cites.
Progressive neural architecture search. In Proceedings of the European conference on computer vision (ECCV) . Springer, Cham, 19–34
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, et al · 2018
Earlier work this paper cites.
Neural architecture optimization
Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, and Tie-Yan Liu. 2018 · 2018
Earlier work this paper cites.
Ray: A distributed framework for emerging AI applications. In 13th USENIX symposium on operating systems design and implementation (OSDI 18) . USENIX Association, 561–577
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, et al · 2018
Earlier work this paper cites.
Accelerating the machine learning lifecycle with MLflow
Matei Zaharia, Andrew Chen, Aaron Davidson, Ali Ghodsi, Sue Ann Hong, Andy Konwinski, Siddharth Murching, et al · 2018
Earlier work this paper cites.