Douglas Eck
Doug is a Senior Research Director at Google, and leads research efforts at Google DeepMind in Generative Media, including image, video, 3D, music and audio generation. He also leads a broader group active in areas including Fundamental Learning Algorithms, Natural Language Processing, Multimodal Learning, Reinforcement Learning, Computer Vision and Generative Models. His own research lies at the intersection of machine learning and human-computer interaction (HCI). Doug created Magenta, an ongoing research project exploring the role of AI in art and music creation. He is also an advocate for PAIR, a multidisciplinary team that explores the human side of AI through fundamental research, building tools, creating design frameworks, and working with diverse communities.
Before joining Google in 2010, Doug did research in music perception, aspects of music performance, machine learning for large audio datasets and music recommendation. He completed his PhD in Computer Science and Cognitive Science at Indiana University in 2000 and went on to a postdoctoral fellowship with Juergen Schmidhuber at IDSIA in Lugano Switzerland. From 2003-2010, Doug was faculty in Computer Science in the University of Montreal machine learning group (now MILA machine learning lab), where he became Associate Professor.
Authored Publications
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Deduplicating Training Data Makes Language Models Better
Andrew Nystrom
Chiyuan Zhang
Chris Callison-Burch
Nicholas Carlini
(2022) (to appear)
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Hyung Won Chung
Sebastian Gehrmann
Parker Schuh
Sasha Tsvyashchenko
Abhishek Rao
Yi Tay
Noam Shazeer
Nan Du
Reiner Pope
James Bradbury
Guy Gur-Ari
Toju Duke
Henryk Michalewski
Xavier Garcia
Liam Fedus
David Luan
Barret Zoph
Ryan Sepassi
David Dohan
Shivani Agrawal
Mark Omernick
Marie Pellat
Aitor Lewkowycz
Erica Moreira
Rewon Child
Oleksandr Polozov
Zongwei Zhou
Brennan Saeta
Michele Catasta
Jason Wei
Kathy Meier-Hellstern
arxiv:2204.02311 (2022)
Emergent Social Learning via Multi-agent Reinforcement Learning
Kamal Ndousse
Sergey Levine
International Conference on Machine Learning (ICML) (2021)
Joint Attention for Multi-Agent Coordination and Social Learning
Dennis Lee
Jiaxing Wu
ICRA Workshop on Social Intelligence in Humans and Robots (2021)
Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback
Jennifer McCleary
David Ha
Fred Bertsch
Rosalind Picard
International Joint Conference on Artificial Intelligence (IJCAI) 2018 (2020), pp. 1-9
Towards Better Storylines with Sentence-Level Language Models
David Grangier
Chris Callison-Burch
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020), pp. 1808-1822
Automatic Detection of Generated Text is Easiest when Humans are Fooled
Chris Callison-Burch
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020), pp. 1808-1822
Unsupervised Hierarchical Story Infilling
David Grangier
Chris Callison-Burch
NAACL 2019 Workshop on Narrative Understanding, Minneapolis, MN (2019)
Magenta Studio: Augmenting Creativity with Deep Learning in Ableton Live
Yotam Mann
Jon Gillick
Monica Dinculescu
Carey Radebaugh
Curtis Hawthorne
Proceedings of the International Workshop on Musical Metacreation (MUME) (2019)
