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Post-Estimation Smoothing: A Simple Baseline for Learning with Side
  Information

Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information

12 March 2020
Esther Rolf
Michael I. Jordan
Benjamin Recht
ArXivPDFHTML

Papers citing "Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information"

3 / 3 papers shown
Title
Evaluation Challenges for Geospatial ML
Evaluation Challenges for Geospatial ML
Esther Rolf
ELM
20
10
0
31 Mar 2023
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
103
1,383
0
14 Dec 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
270
1,275
0
06 Mar 2017
1