BIVW: Deep Heteroscedastic Regression using Privileged Information
Contents:
Introduction
Commandline Options
Dataloaders: UTKFace
Dataloaders: Bike Sharing
Dataloaders: Wine Quality
Models: Wine Quality
Models: Bike Sharing
Models: UTKFace
Losses: Cutoff MSE
Losses: Batch Inverse Variance (BIV)
Trainer
Utilities
Settings
BIVW: Deep Heteroscedastic Regression using Privileged Information
Docs
»
Index
Index
A
|
B
|
C
|
F
|
G
|
L
|
N
|
P
|
S
|
T
|
U
|
W
|
Z
A
AgeModel (class in model)
assert_args_mixture() (in module utils)
B
BikeModel (class in model)
BikeSharing (class in bike_dataloader)
BIVLoss (class in losses)
C
choose_distribution() (in module utils)
CutoffMSE (class in losses)
F
filter_batch() (in module utils)
forward() (losses.BIVLoss method)
(losses.CutoffMSE method)
(model.AgeModel method)
(model.BikeModel method)
(model.WineModel method)
G
gaussian_noise() (bike_dataloader.BikeSharing method)
(utkf_dataloader.UTKface method)
(wine_dataloader.WineQuality method)
generate_intervals() (in module utils)
generate_noise() (bike_dataloader.BikeSharing method)
(utkf_dataloader.UTKface method)
(wine_dataloader.WineQuality method)
get_distribution() (bike_dataloader.BikeSharing method)
(utkf_dataloader.UTKface method)
(wine_dataloader.WineQuality method)
get_gamma_params() (bike_dataloader.BikeSharing method)
(utkf_dataloader.UTKface method)
(wine_dataloader.WineQuality method)
get_mean_avg_variance() (in module utils)
get_unif_Vmax() (in module utils)
get_uniform_params() (bike_dataloader.BikeSharing method)
(utkf_dataloader.UTKface method)
(wine_dataloader.WineQuality method)
L
load_data() (bike_dataloader.BikeSharing method)
(utkf_dataloader.UTKface method)
(wine_dataloader.WineQuality method)
N
normalize_features() (in module utils)
normalize_labels() (in module utils)
P
print_experiment_information() (in module utils)
S
str_to_bool() (in module utils)
T
train() (train.Trainer method)
Trainer (class in train)
U
UTKface (class in utkf_dataloader)
W
WineModel (class in model)
WineQuality (class in wine_dataloader)
Z
zip_results() (train.Trainer method)