Ryan Sepassi

PaLM: Scaling Language Modeling with Pathways

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin et al. · arXiv (Cornell University) · 2022 · 2.1K citations · Full text

Artificial Intelligence, Llm Fine-tuning, Engineering +19

Model-Based Reinforcement Learning for Atari

Łukasz Kaiser, Mohammad Babaeizadeh, Błażej Osiński et al. · arXiv (Cornell University) · 2019 · 420 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Model Based Reinforcement Learning for Atari

Łukasz Kaiser, Mohammad Babaeizadeh, Piotr Miłoś et al. · International Conference on Learning Representations · 2020 · 85 citations

Artificial Intelligence, Model-based Learning, Model-free Learning +15

Generating Wikipedia by Summarizing Long Sequences

Peter J. Liu, Mohammad Saleh, Etienne Pot et al. · arXiv (Cornell University) · 2018 · 74 citations · Full text

Engineering, Entity Summarization, Corpus Linguistics +19

Mesh-TensorFlow: Deep Learning for Supercomputers

Noam Shazeer, Youlong Cheng, Niki Parmar et al. · arXiv (Cornell University) · 2018 · 52 citations · Full text

Cluster Computing, Computational Science, Geometric Learning +15