Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer | Paper Citation Record

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This paper cites Sanity checks for saliency maps.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Sanity checks for saliency maps

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Deep evidential regression

Reference 2

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This paper cites Concrete Problems in AI Safety.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Concrete Problems in AI Safety

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Weight uncertainty in neural network

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This paper cites A recurrent latent variable model for sequential data.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer A recurrent latent variable model for sequential data

Reference 5

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This paper cites Laplace redux-effortless bayesian deep learning.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Laplace redux-effortless bayesian deep learning

Reference 6

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This paper cites Imagenet: A large-scale hierarchical image database.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Imagenet: A large-scale hierarchical image database

Reference 7

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This paper cites Variational classification.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Variational classification

Reference 8

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This paper cites Variational Classification.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Variational Classification

Reference 9

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This paper cites Theory and Evaluation Metrics for Learning Disentangled Representations.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Theory and Evaluation Metrics for Learning Disentangled Representations

Reference 10

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer An image is worth 16x16 words: Transformers for image recognition at scale

Reference 11

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This paper cites Sawtooth factorial topic embeddings guided gamma belief network.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Sawtooth factorial topic embeddings guided gamma belief network

Reference 12

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This paper cites A Non-negative VAE:the Generalized Gamma Belief Network.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer A Non-negative VAE:the Generalized Gamma Belief Network

Reference 13

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This paper cites Contextual dropout: An efficient sample-dependent dropout module.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Contextual dropout: An efficient sample-dependent dropout module

Reference 14

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This paper cites Sidiropoulos.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Sidiropoulos

Reference 15

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This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 16

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This paper cites Nonnegative matrix factorization.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Nonnegative matrix factorization

Reference 17

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This paper cites Partial identifiability for nonnegative matrix factorization.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Partial identifiability for nonnegative matrix factorization

Reference 18

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This paper cites On calibration of modern neural networks.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer On calibration of modern neural networks

Reference 19

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This paper cites CARD: Classification and Regression Diffusion Models.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer CARD: Classification and Regression Diffusion Models

Reference 20

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This paper cites HaoChen, Colin Wei, Adrien Gaidon, and Tengyu Ma.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer HaoChen, Colin Wei, Adrien Gaidon, and Tengyu Ma

Reference 21

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This paper cites Variational Bayesian Last Layers.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Variational Bayesian Last Layers

Reference 22

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This paper cites Deep residual learning for image recognition.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Deep residual learning for image recognition

Reference 23

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This paper cites Probabilistic backpropagation for scalable learning of bayesian neural networks.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Probabilistic backpropagation for scalable learning of bayesian neural networks

Reference 24

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This paper cites Non-negative matrix factorization with sparseness constraints.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Non-negative matrix factorization with sparseness constraints

Reference 25

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This paper cites Non-negative matrix factorization revisited: Uniqueness and algorithm for symmetric decomposition.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Non-negative matrix factorization revisited: Uniqueness and algorithm for symmetric decomposition

Reference 26

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Being bayesian about categorical probability

Reference 27

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This paper cites Adam: A Method for Stochastic Optimization.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Adam: A Method for Stochastic Optimization

Reference 28

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Stochastic gradient vb and the variational auto-encoder

Reference 29

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Semi-supervised learning with deep generative models

Reference 30

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Variational dropout and the local reparameterization trick

Reference 31

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Stochastic gradient variational Bayes for gamma approximating distributions

Reference 32

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Being bayesian, even just a bit, fixes overconfidence in relu networks

Reference 33

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Learning multiple layers of features from tiny images

Reference 34

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Simple and scalable predictive uncertainty estimation using deep ensembles

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Towards falsifiable interpretability research

Reference 36

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Deep learning

Reference 37

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Learning the parts of objects by non-negative matrix factorization

Reference 38

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Preconditioned stochastic gradient langevin dynamics for deep neural networks

Reference 39

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Deep ensembling with no overhead for either training or testing: The all-round blessings of dynamic sparsity

Reference 40

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Energy-based out-of-distribution detection

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Multiplicative normalizing flows for variational bayesian neural networks

Reference 42

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Predictive uncertainty estimation via prior networks

Reference 43

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Regression Prior Networks

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer SPADE: Sparsity-Guided Debugging for Deep Neural Networks

Reference 45

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This paper cites Identifiable Deep Generative Models via Sparse Decoding.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Identifiable Deep Generative Models via Sparse Decoding

Reference 46

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Evaluating Bayesian Deep Learning Methods for Semantic Segmentation

Reference 47

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Reparameterization gradients through acceptance-rejection sampling algorithms

Reference 48

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This paper cites Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

Reference 49

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Benchmarking the neural linear model for regression

Reference 50

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Feature visualization

Reference 51

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Representation Learning with Contrastive Predictive Coding

Reference 52

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This paper cites Listen to interpret: Post-hoc interpretability for audio networks with nmf.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Listen to interpret: Post-hoc interpretability for audio networks with nmf

Reference 53

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This paper cites why should i trust you?.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer why should i trust you?

Reference 54

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This paper cites The generalized reparameterization gradient.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer The generalized reparameterization gradient

Reference 55

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This paper cites Imagenet large scale visual recognition challenge.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Imagenet large scale visual recognition challenge

Reference 56

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This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 57

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Evidential deep learning to quantify classification uncertainty

Reference 58

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Kernel Implicit Variational Inference

Reference 59

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 60

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Learning structured output representation using deep conditional generative models

Reference 61

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Collapsed variational bounds for bayesian neural networks

Reference 62

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Non-negative contrastive learning

Reference 63

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Latent derivative bayesian last layer networks

Reference 64

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Optimizing over a bayesian last layer

Reference 65

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Simple statistical gradient-following algorithms for connectionist reinforcement learning

Reference 66

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Leveraging sparse linear layers for debuggable deep networks

Reference 67

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Understanding Neural Networks Through Deep Visualization

Reference 68

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity

Reference 69

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Observation ac04e066-f5dd-477f-a98c-215a6bd46821 · outbound

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling

Reference 70

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Places: A 10 million image database for scene recognition

Reference 71

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Beta-negative binomial process and P oisson factor analysis

Reference 72

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer The P oisson gamma belief network

Reference 73

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Observation f88c6d8e-72ab-4e62-8f47-fea47e656f49 · outbound

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer write newline

Reference 74

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer @esa (Ref

Reference 75

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Unresolved cited work

Reference 76

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Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Unresolved cited work

Reference 77

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