papers
Publications (14)
cs.CL2013
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado +1
cs.CL2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen +28
cs.DB2018
The Case for Learned Index Structures
Tim Kraska, Alex Beutel, Ed H. Chi +2
cs.DC2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
MartÃn Abadi, Ashish Agarwal, Paul Barham +37
cs.CL2025
Gemini: A Family of Highly Capable Multimodal Models
Gemini Team, Rohan Anil, Sebastian Borgeaud +1340
cs.CV2018
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration
Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald +7
cs.LG2019
Accelerating Deep Learning by Focusing on the Biggest Losers
Angela H. Jiang, Daniel L. -K. Wong, Giulio Zhou +8
cs.DC2016
TensorFlow: A system for large-scale machine learning
MartÃn Abadi, Paul Barham, Jianmin Chen +19
cs.LG2014
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi, Tomas Mikolov, Samy Bengio +5
stat.ML2025
DataRater: Meta-Learned Dataset Curation
Dan A. Calian, Gregory Farquhar, Iurii Kemaev +9
cs.CL2017
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson, Mike Schuster, Quoc V. Le +9
cs.AR2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
cs.LG2019
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design
Jeffrey Dean
cs.CL2013
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen +2