--- title: "Google — works" description: "272 works by researchers of Google on the Elamur Research site · page 1 of 11, the most cited first." canonical: "https://research.elamur.ai/free/en/companies/google/works/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/google/works/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [companies](https://md.research.elamur.ai/free/en/companies/) / [Google](https://md.research.elamur.ai/free/en/companies/google/) / works # Works of Google 272 works · page 1 of 11 · the most cited first · [← Google](https://md.research.elamur.ai/free/en/companies/google/) **1** [2](https://md.research.elamur.ai/free/en/companies/google/works/page/2/) … [11](https://md.research.elamur.ai/free/en/companies/google/works/page/11/) [next →](https://md.research.elamur.ai/free/en/companies/google/works/page/2/) - [Array Programming with NumPy](https://md.research.elamur.ai/free/en/papers/harris-2020-array-programming-numpy/) — Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al. · 2020 · 23 591 citations - [FaceNet: A Unified Embedding for Face Recognition and Clustering](https://md.research.elamur.ai/free/en/papers/schroff-2015-facenet-unified-embedding-face-recognition/) — Florian Schroff, Dmitry Kalenichenko, James Philbin · 2015 · 11 939 citations - [Chain-of-Thought Prompting Elicits Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2022-chain-thought-prompting-elicits-reasoning/) — Jason Wei, Xuezhi Wang, Dale Schuurmans, et al. · 2022 · 11 278 citations - [MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications](https://md.research.elamur.ai/free/en/papers/howard-2017-mobilenets-efficient-convolutional-neural-networks/) — Andrew G. Howard, Menglong Zhu, Bo Chen, et al. · 2017 · 9 633 citations - [Explaining and Harnessing Adversarial Examples](https://md.research.elamur.ai/free/en/papers/goodfellow-2014-explaining-harnessing-adversarial-examples/) — Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy · 2014 · 8 430 citations - [A Simple Framework for Contrastive Learning of Visual Representations](https://md.research.elamur.ai/free/en/papers/chen-2020-simple-framework-contrastive-learning-visual/) — Ting Chen, Simon Kornblith, Mohammad Norouzi, et al. · 2020 · 7 774 citations - [Learning Transferable Architectures for Scalable Image Recognition](https://md.research.elamur.ai/free/en/papers/zoph-2017-learning-transferable-architectures-scalable-image/) — Barret Zoph, Vijay Vasudevan, Jonathon Shlens, et al. · 2017 · 6 518 citations - [Natural Language Processing (almost) from Scratch](https://md.research.elamur.ai/free/en/papers/collobert-2011-natural-language-processing-almost-scratch/) — Ronan Collobert, Jason Weston, Leon Bottou, et al. · 2011 · 6 099 citations - [Intriguing properties of neural networks](https://md.research.elamur.ai/free/en/papers/szegedy-2013-intriguing-properties-neural-networks/) — Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, et al. · 2013 · 5 870 citations - [Distributed Representations of Sentences and Documents](https://md.research.elamur.ai/free/en/papers/le-2014-distributed-representations-sentences-documents/) — Quoc V. Le, Tomas Mikolov · 2014 · 5 747 citations - [EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/tan-2019-efficientnet-rethinking-model-scaling-convolutional/) — Mingxing Tan, Quoc V. Le · 2019 · 5 308 citations - [Large Language Models Encode Clinical Knowledge](https://md.research.elamur.ai/free/en/papers/singhal-2022-large-language-models-encode-clinical/) — Karan Singhal, Shekoofeh Azizi, Tao Tu, et al. · 2022 · 4 464 citations - [SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing](https://md.research.elamur.ai/free/en/papers/kudo-2018-sentencepiece-simple-language-independent-subword/) — Taku Kudo, John Richardson · 2018 · 4 461 citations - [Caffe: Convolutional Architecture for Fast Feature Embedding](https://md.research.elamur.ai/free/en/papers/jia-2014-caffe-convolutional-architecture-fast-feature/) — Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al. · 2014 · 4 064 citations - [Natural Questions: A Benchmark for Question Answering Research](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2019-natural-questions-benchmark-question-answering/) — Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, et al. · 2019 · 4 031 citations - [SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/park-2019-specaugment-simple-data-augmentation-method/) — Daniel S. Park, William Chan, Yu Zhang, et al. · 2019 · 3 802 citations - [XLNet: Generalized Autoregressive Pretraining for Language Understanding](https://md.research.elamur.ai/free/en/papers/yang-2019-xlnet-generalized-autoregressive-pretraining-language/) — Zhilin Yang, Zihang Dai, Yiming Yang, et al. · 2019 · 3 740 citations - [HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2018-hotpotqa-dataset-diverse-explainable-multi/) — Zhilin Yang, Peng Qi, Saizheng Zhang, et al. · 2018 · 3 489 citations - [Conformer: Convolution-augmented Transformer for Speech Recognition](https://md.research.elamur.ai/free/en/papers/gulati-2020-conformer-convolution-augmented-transformer-speech/) — Anmol Gulati, James Qin, Chung-Cheng Chiu, et al. · 2020 · 3 433 citations - [Self-Attention with Relative Position Representations](https://md.research.elamur.ai/free/en/papers/shaw-2018-self-attention-relative-position-representations/) — Peter Shaw, Jakob Uszkoreit, Ashish Vaswani · 2018 · 2 811 citations - [ReAct: Synergizing Reasoning and Acting in Language Models](https://md.research.elamur.ai/free/en/papers/yao-2022-react-synergizing-reasoning-acting-language/) — Shunyu Yao, Jeffrey Zhao, Dian Yu, et al. · 2022 · 2 493 citations - [Generating Sentences from a Continuous Space](https://md.research.elamur.ai/free/en/papers/bowman-2016-generating-sentences-continuous-space/) — Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al. · 2016 · 2 367 citations - [Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning](https://md.research.elamur.ai/free/en/papers/sharma-2018-conceptual-captions-cleaned-hypernymed-image/) — Piyush Sharma, Nan Ding, Sebastian Goodman, et al. · 2018 · 2 278 citations - [Equality of Opportunity in Supervised Learning](https://md.research.elamur.ai/free/en/papers/hardt-2016-equality-opportunity-supervised-learning/) — Moritz Hardt, Eric Price, Nathan Srebro · 2016 · 2 224 citations - [Emergent Abilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/) — Jason Wei, Yi Tay, Rishi Bommasani, et al. · 2022 · 2 215 citations **1** [2](https://md.research.elamur.ai/free/en/companies/google/works/page/2/) … [11](https://md.research.elamur.ai/free/en/companies/google/works/page/11/) [next →](https://md.research.elamur.ai/free/en/companies/google/works/page/2/)