|
Workshop
|
|
Parity in predictive performance is neither necessary nor sufficient for fairness
Justin Engelmann · Miguel Bernabeu · Amos Storkey
|
|
|
Workshop
|
Fri 9:30
|
Performative Prediction in Time Series: A Case Study
Rupali Bhati · Jennifer Jones · Audrey Durand
|
|
|
Workshop
|
|
Embedding Reliability: On the Predictability of Downstream Performance
Shervin Ardeshir · Navid Azizan
|
|
|
Workshop
|
|
Performative Prediction with Neural Networks
Mehrnaz Mofakhami · Ioannis Mitliagkas · Gauthier Gidel
|
|
|
Workshop
|
Sat 7:10
|
Neural networks learn an environment's geometry in latent space by performing predictive coding on visual scenes
James Gornet · Matt Thomson
|
|
|
Workshop
|
|
Neural networks learn an environment's geometry in latent space by performing predictive coding on visual scenes
James Gornet · Matt Thomson
|
|
|
Workshop
|
|
Neural networks learn an environment's geometry in latent space by performing predictive coding on visual scenes
James Gornet · Matt Thomson
|
|
|
Workshop
|
|
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation
Timo Saemann · Ahmed Hammam · Andrei Bursuc · Christoph Stiller · Horst-Michael Gross
|
|
|
Workshop
|
|
Can Strategic Data Collection Improve the Performance of Poverty Prediction Models?
satej soman · Emily Aiken · Esther Rolf · Joshua Blumenstock
|
|
|
Poster
|
Tue 14:00
|
Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs
Hao Xiong · Yangxiao Lu · Nicholas Ruozzi
|
|
|
Poster
|
Tue 14:00
|
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
Christina Baek · Yiding Jiang · Aditi Raghunathan · J. Zico Kolter
|
|
|
Poster
|
Thu 9:00
|
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Lingjiao Chen · Zhihua Jin · Evan Sabri Eyuboglu · Christopher Ré · Matei Zaharia · James Zou
|
|
