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Building Socially-Equitable Public Models

Building Socially-Equitable Public Models

4 June 2024
Yejia Liu
Jianyi Yang
Pengfei Li
Tongxin Li
Shaolei Ren
    OffRL
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Papers citing "Building Socially-Equitable Public Models"

10 / 10 papers shown
Title
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Pengfei Li
Jianyi Yang
M. A. Islam
Shaolei Ren
144
132
0
06 Apr 2023
The Carbon Footprint of Machine Learning Training Will Plateau, Then
  Shrink
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
David A. Patterson
Joseph E. Gonzalez
Urs Holzle
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
68
243
0
11 Apr 2022
Task Programming: Learning Data Efficient Behavior Representations
Task Programming: Learning Data Efficient Behavior Representations
Jennifer J. Sun
Ann Kennedy
Eric Zhan
David J. Anderson
Yisong Yue
Pietro Perona
50
51
0
27 Nov 2020
Serverless in the Wild: Characterizing and Optimizing the Serverless
  Workload at a Large Cloud Provider
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
Mohammad Shahrad
Rodrigo Fonseca
Íñigo Goiri
G. Chaudhry
Paul Batum
Jason Cooke
Eduardo Laureano
Colby Tresness
M. Russinovich
Ricardo Bianchini
109
616
0
06 Mar 2020
Global Optimality Guarantees For Policy Gradient Methods
Global Optimality Guarantees For Policy Gradient Methods
Jalaj Bhandari
Daniel Russo
65
193
0
05 Jun 2019
End to end learning and optimization on graphs
End to end learning and optimization on graphs
Bryan Wilder
Eric Ewing
B. Dilkina
Milind Tambe
GNN
56
107
0
31 May 2019
Agnostic Federated Learning
Agnostic Federated Learning
M. Mohri
Gary Sivek
A. Suresh
FedML
124
932
0
01 Feb 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear
  Quadratic Systems
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
Dhruv Malik
A. Pananjady
Kush S. Bhatia
K. Khamaru
Peter L. Bartlett
Martin J. Wainwright
48
198
0
20 Dec 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
352
681
0
17 Feb 2018
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
141
1,483
0
29 Nov 2016
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