Human Deferral
Contents:
improved_deferral
Human Deferral
Index
Index
A
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B
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C
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D
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E
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F
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G
|
H
|
I
|
L
|
M
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N
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O
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P
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R
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S
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T
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U
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W
A
accuracy() (in module helpers.utils)
AverageMeter (class in helpers.utils)
B
BaseDataset (class in datasetsdefer.basedataset)
baselines
module
baselines.basemethod
module
baselines.compare_confidence
module
baselines.differentiable_triage
module
baselines.lce_surrogate
module
baselines.mix_of_exps
module
baselines.one_v_all
module
baselines.selective_prediction
module
BaseMethod (class in baselines.basemethod)
BaseSurrogateMethod (class in baselines.basemethod)
BrowardDataset (class in datasetsdefer.broward)
C
ChestXrayDataset (class in datasetsdefer.chestxray)
Cifar10h (class in datasetsdefer.cifar_h)
CifarSynthDataset (class in datasetsdefer.cifar_synth)
CifarSynthExpert (class in datasetsdefer.cifar_synth)
CompareConfidence (class in baselines.compare_confidence)
compute_classification_metrics() (in module helpers.metrics)
compute_coverage_v_acc_curve() (in module helpers.metrics)
compute_deferral_metrics() (in module helpers.metrics)
D
datasetsdefer
module
datasetsdefer.basedataset
module
datasetsdefer.broward
module
datasetsdefer.chestxray
module
datasetsdefer.cifar_h
module
datasetsdefer.cifar_synth
module
datasetsdefer.generic_dataset
module
datasetsdefer.hatespeech
module
datasetsdefer.imagenet_16h
module
datasetsdefer.synthetic_data
module
DifferentiableTriage (class in baselines.differentiable_triage)
E
ExpertDatasetTensor (class in helpers.utils)
F
find_machine_samples() (baselines.differentiable_triage.DifferentiableTriage method)
fit() (baselines.basemethod.BaseMethod method)
(baselines.basemethod.BaseSurrogateMethod method)
(baselines.compare_confidence.CompareConfidence method)
(baselines.differentiable_triage.DifferentiableTriage method)
(baselines.mix_of_exps.MixtureOfExperts method)
(baselines.one_v_all.OVASurrogate method)
(baselines.selective_prediction.SelectivePrediction method)
fit_epoch() (baselines.basemethod.BaseSurrogateMethod method)
(baselines.mix_of_exps.MixtureOfExperts method)
(baselines.one_v_all.OVASurrogate method)
fit_epoch_class() (baselines.compare_confidence.CompareConfidence method)
(baselines.differentiable_triage.DifferentiableTriage method)
(baselines.selective_prediction.SelectivePrediction method)
fit_epoch_class_triage() (baselines.differentiable_triage.DifferentiableTriage method)
fit_epoch_expert() (baselines.compare_confidence.CompareConfidence method)
fit_epoch_rejector() (baselines.differentiable_triage.DifferentiableTriage method)
fit_hyperparam() (baselines.basemethod.BaseMethod method)
(baselines.differentiable_triage.DifferentiableTriage method)
(baselines.lce_surrogate.LceSurrogate method)
forward() (networks.cnn.MobileNetV2 method)
(networks.linear_net.Linear_net_sig method)
(networks.linear_net.LinearNet method)
(networks.linear_net.LinearNetDefer method)
(networks.non_linear_net.NonLinearNet method)
G
generate_data() (datasetsdefer.basedataset.BaseDataset method)
(datasetsdefer.broward.BrowardDataset method)
(datasetsdefer.chestxray.ChestXrayDataset method)
(datasetsdefer.cifar_h.Cifar10h method)
(datasetsdefer.cifar_synth.CifarSynthDataset method)
(datasetsdefer.generic_dataset.GenericDatasetDeferral method)
(datasetsdefer.hatespeech.HateSpeech method)
(datasetsdefer.imagenet_16h.ImageNet16h method)
(datasetsdefer.synthetic_data.SyntheticData method)
GenericDatasetDeferral (class in datasetsdefer.generic_dataset)
GenericImageExpertDataset (class in datasetsdefer.generic_dataset)
H
HateSpeech (class in datasetsdefer.hatespeech)
helpers
module
helpers.metrics
module
helpers.training
module
helpers.utils
module
I
ImageNet16h (class in datasetsdefer.imagenet_16h)
infer_cvb0() (datasetsdefer.hatespeech.ModelPredictAAE method)
L
LceSurrogate (class in baselines.lce_surrogate)
Linear_net_sig (class in networks.linear_net)
LinearNet (class in networks.linear_net)
LinearNetDefer (class in networks.linear_net)
load_model() (datasetsdefer.hatespeech.ModelPredictAAE method)
LogisticLossOVA() (baselines.one_v_all.OVASurrogate method)
M
metrics_cifar10h() (datasetsdefer.cifar_h.Cifar10h method)
MixtureOfExperts (class in baselines.mix_of_exps)
mixtures_of_experts_loss() (baselines.mix_of_exps.MixtureOfExperts method)
mobilenet_v2() (in module networks.cnn)
MobileNetV2 (class in networks.cnn)
model_setting() (datasetsdefer.hatespeech.HateSpeech method)
ModelPredictAAE (class in datasetsdefer.hatespeech)
module
baselines
baselines.basemethod
baselines.compare_confidence
baselines.differentiable_triage
baselines.lce_surrogate
baselines.mix_of_exps
baselines.one_v_all
baselines.selective_prediction
datasetsdefer
datasetsdefer.basedataset
datasetsdefer.broward
datasetsdefer.chestxray
datasetsdefer.cifar_h
datasetsdefer.cifar_synth
datasetsdefer.generic_dataset
datasetsdefer.hatespeech
datasetsdefer.imagenet_16h
datasetsdefer.synthetic_data
helpers
helpers.metrics
helpers.training
helpers.utils
networks
networks.cnn
networks.linear_net
networks.non_linear_net
N
networks
module
networks.cnn
module
networks.linear_net
module
networks.non_linear_net
module
NonLinearNet (class in networks.non_linear_net)
O
ova_loss() (baselines.one_v_all.OVASurrogate method)
OVASurrogate (class in baselines.one_v_all)
P
predict() (datasetsdefer.cifar_synth.CifarSynthExpert method)
predict_lang() (datasetsdefer.hatespeech.ModelPredictAAE method)
R
reset() (helpers.utils.AverageMeter method)
S
SelectivePrediction (class in baselines.selective_prediction)
set_optimal_threshold() (baselines.selective_prediction.SelectivePrediction method)
surrogate_loss_function() (baselines.basemethod.BaseSurrogateMethod method)
(baselines.lce_surrogate.LceSurrogate method)
SyntheticData (class in datasetsdefer.synthetic_data)
T
test() (baselines.basemethod.BaseMethod method)
(baselines.basemethod.BaseSurrogateMethod method)
(baselines.compare_confidence.CompareConfidence method)
(baselines.differentiable_triage.DifferentiableTriage method)
(baselines.mix_of_exps.MixtureOfExperts method)
(baselines.one_v_all.OVASurrogate method)
(baselines.selective_prediction.SelectivePrediction method)
train_deferral_single_model() (in module helpers.training)
train_single_model() (in module helpers.training)
training (networks.cnn.MobileNetV2 attribute)
(networks.linear_net.Linear_net_sig attribute)
(networks.linear_net.LinearNet attribute)
(networks.linear_net.LinearNetDefer attribute)
(networks.non_linear_net.NonLinearNet attribute)
U
update() (helpers.utils.AverageMeter method)
W
weighted_cross_entropy_loss() (in module baselines.differentiable_triage)