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Learning Language and Multimodal Privacy-Preserving Markers of Mood from
  Mobile Data

Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data

24 June 2021
Paul Pu Liang
Terrance Liu
Anna Cai
Michal Muszynski
Ryo Ishii
Nicholas B. Allen
Randy P. Auerbach
David Brent
Ruslan Salakhutdinov
Louis-Philippe Morency
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Papers citing "Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data"

9 / 9 papers shown
Title
MultiMed: Massively Multimodal and Multitask Medical Understanding
MultiMed: Massively Multimodal and Multitask Medical Understanding
Shentong Mo
Paul Pu Liang
LM&MA
24
0
0
22 Aug 2024
MultiIoT: Benchmarking Machine Learning for the Internet of Things
MultiIoT: Benchmarking Machine Learning for the Internet of Things
Shentong Mo
Louis-Philippe Morency
Russ Salakhutdinov
Paul Pu Liang
24
1
0
10 Nov 2023
Neural Mixed Effects for Nonlinear Personalized Predictions
Neural Mixed Effects for Nonlinear Personalized Predictions
T. Wörtwein
Nicholas B. Allen
Lisa B. Sheeber
Randy P. Auerbach
J. Cohn
Louis-Philippe Morency
11
7
0
13 Jun 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across
  Diverse Biomedical Data Sources
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
54
14
0
10 May 2023
Quantifying & Modeling Multimodal Interactions: An Information
  Decomposition Framework
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
Paul Pu Liang
Yun Cheng
Xiang Fan
Chun Kai Ling
Suzanne Nie
...
Nicholas B. Allen
Randy P. Auerbach
Faisal Mahmood
Ruslan Salakhutdinov
Louis-Philippe Morency
30
29
0
23 Feb 2023
Foundations and Trends in Multimodal Machine Learning: Principles,
  Challenges, and Open Questions
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
16
60
0
07 Sep 2022
High-Modality Multimodal Transformer: Quantifying Modality & Interaction
  Heterogeneity for High-Modality Representation Learning
High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Jeffrey Tsaw
Yudong Liu
Shentong Mo
Dani Yogatama
Louis-Philippe Morency
Ruslan Salakhutdinov
17
29
0
02 Mar 2022
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,814
0
14 Dec 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
193
434
0
04 Mar 2020
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