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David M. Chan
Postdoc, University of California, Berkeley
Joined
February 2020
Names
David M. Chan
(Preferred)
,
David Chan
,
David M Chan
Emails
****@berkeley.edu
(Confirmed)
,
****@iridescent.io
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
ACL Anthology
Career & Education History
Postdoc
University of California, Berkeley
(berkeley.edu)
2024
–
Present
Researcher
Amazon
(amazon.com)
2021
–
2024
PhD student
University of California Berkeley
(berkeley.edu)
2017
–
2024
Intern
Google
(google.com)
2020
–
2020
Intern
Dropbox
(dropbox.com)
2019
–
2019
Intern
Nasa JPL
(nasa.gov)
2018
–
2018
Undergrad student
University of Denver
(du.edu)
2013
–
2017
Advisors, Relations & Conflicts
PhD Advisor
John Canny
Present
Coworker
Shalini Ghosh
Present
Postdoc Advisor
Trevor Darrell
Present
Expertise
Deep learning
,
Vision
,
Language
,
Video
2019
–
Present
Publications
Towards Understanding How Machines Can Learn Causal Overhypotheses
Eliza Kosoy
,
David Chan
,
Adrian Liu
,
Jasmine Collins
,
Bryanna Kaufmann
,
Sandy Huang
,
Jessica B Hamrick
,
John Canny
,
Nan Rosemary Ke
,
Alison Gopnik
Published: 01 Feb 2023, Last Modified: 14 Jan 2026
Submitted to ICLR 2023
Readers:
Everyone
Distribution Aware Metrics for Conditional Natural Language Generation
David Chan
,
Yiming Ni
,
Sudheendra Vijayanarasimhan
,
David A Ross
,
Austin Myers
,
John Canny
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
LAVA: Language Audio Vision Alignment for Data-Efficient Video Pre-Training
Sumanth Gurram
,
David Chan
,
Andy Fang
,
John Canny
26 May 2022 (modified: 05 May 2023)
ICML 2022 Pre-training Workshop
Readers:
Everyone
Content-Context Factorized Representations for Automated Speech Recognition
David M. Chan
,
Shalini Ghosh
2022 (modified: 09 Nov 2022)
INTERSPEECH 2022
Readers:
Everyone
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics
David M. Chan
,
Austin Myers
,
Sudheendra Vijayanarasimhan
,
David A. Ross
,
Bryan Seybold
,
John F. Canny
2022 (modified: 09 Nov 2022)
CVPR Workshops 2022
Readers:
Everyone
Multi-Modal Pre-Training for Automated Speech Recognition
David M. Chan
,
Shalini Ghosh
,
Debmalya Chakrabarty
,
Björn Hoffmeister
2022 (modified: 09 Nov 2022)
ICASSP 2022
Readers:
Everyone
Towards Understanding How Machines Can Learn Causal Overhypotheses
Eliza Kosoy
,
David M. Chan
,
Adrian Liu
,
Jasmine Collins
,
Bryanna Kaufmann
,
Sandy Han Huang
,
Jessica B. Hamrick
,
John F. Canny
,
Nan Rosemary Ke
,
Alison Gopnik
2022 (modified: 09 Nov 2022)
CoRR 2022
Readers:
Everyone
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics
David M. Chan
,
Austin Myers
,
Sudheendra Vijayanarasimhan
,
David A. Ross
,
Bryan Seybold
,
John F. Canny
2022 (modified: 09 Nov 2022)
CoRR 2022
Readers:
Everyone
Learning Causal Overhypotheses through Exploration in Children and Computational Models
Eliza Kosoy
,
Adrian Liu
,
Jasmine Collins
,
David M. Chan
,
Jessica B. Hamrick
,
Nan Rosemary Ke
,
Sandy H. Huang
,
Bryanna Kaufmann
,
John F. Canny
,
Alison Gopnik
2022 (modified: 09 Nov 2022)
CLeaR 2022
Readers:
Everyone
Content-Context Factorized Representations for Automated Speech Recognition
David M. Chan
,
Shalini Ghosh
2022 (modified: 09 Nov 2022)
CoRR 2022
Readers:
Everyone
View all 28 publications
Co-Authors
Aatif Jiwani
Adrian Liu
Alison Gopnik
Andy Fang
Austin Myers
Biye Jiang
Björn Hoffmeister
Bofan Xue
Bryan Seybold
Bryanna Kaufmann
Chao Ding
Chen Tang
Daniel Seita
David A Ross
David A. Ross
Debmalya Chakrabarty
Deepak Pathak
Eliza Kosoy
Forrest Huang
Glenn Wagner
Howie Choset
Jasmine Collins
Jasmine L Collins
Jessica B Hamrick
Jessica B. Hamrick
View all 46 co-authors