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61 Open 3 Closed
61 Open 3 Closed
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Issues list

Explaining Deep Learning Models using Causal Inference
#64 opened Nov 17, 2018 by pkfancy
The Building Blocks of Interpretability heatmap Imagenet POST-HOC EXPLANATION saliency map TRANSPARENCY UX vision visualization
#62 opened Mar 8, 2018 by richardtomsett
On Fairness and Calibration not deep learning specific
#61 opened Jan 31, 2018 by richardtomsett
On Calibration of Modern Neural Networks
#60 opened Jan 31, 2018 by richardtomsett
Theories of Deep Learning (STATS 385 course, Stanford University) non-paper References that are not journal/conference publications TRANSPARENCY
#59 opened Jan 25, 2018 by richardtomsett
Deep Learning and the Information Bottleneck Principle
#58 opened Jan 25, 2018 by richardtomsett
Why are deep nets reversible: A simple theory, with implications for training
#57 opened Jan 25, 2018 by richardtomsett
Understanding deep learning requires rethinking generalization
#56 opened Jan 25, 2018 by richardtomsett
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
#55 opened Jan 25, 2018 by richardtomsett
Deep Information Propagation
#54 opened Jan 25, 2018 by richardtomsett
Learning Functions: When Is Deep Better Than Shallow
#53 opened Jan 25, 2018 by richardtomsett
Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review
#52 opened Jan 25, 2018 by richardtomsett
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
#51 opened Jan 15, 2018 by richardtomsett
Rationalizing Neural Predictions POST-HOC EXPLANATION RCNN RNN sentiment analysis text data textual description
#50 opened Jan 15, 2018 by richardtomsett
1
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks CNN heatmap POST-HOC EXPLANATION saliency map vision visualization
#49 opened Jan 15, 2018 by richardtomsett
1
Evaluating the Visualization of What a Deep Neural Network Has Learned CNN heatmap interpretability metrics LRP POST-HOC EXPLANATION vision visualization
#48 opened Jan 15, 2018 by richardtomsett
1
Interpretable deep neural networks for single-trial EEG classification heatmap LRP POST-HOC EXPLANATION saliency map visualization
#47 opened Jan 15, 2018 by richardtomsett
1
Explaining nonlinear classification decisions with deep taylor decomposition CNN heatmap LRP POST-HOC EXPLANATION saliency map vision visualization
#46 opened Jan 15, 2018 by richardtomsett
1
Layer-Wise Relevance Propagation for Deep Neural Network Architectures CNN heatmap Imagenet LRP POST-HOC EXPLANATION saliency map vision visualization
#45 opened Jan 15, 2018 by richardtomsett
1
Layer-wise relevance propagation for neural networks with local renormalization layers CNN heatmap Imagenet LRP POST-HOC EXPLANATION saliency map vision visualization
#44 opened Jan 15, 2018 by richardtomsett
1
Right for the right reasons: Training differentiable models by constraining their explanations black-box interpretability heatmap not deep learning specific POST-HOC EXPLANATION saliency map TRANSPARENCY
#43 opened Jan 15, 2018 by richardtomsett
1
Streaming weak submodularity: Interpreting neural networks on the fly black-box interpretability heatmap POST-HOC EXPLANATION saliency map visualization
#42 opened Jan 15, 2018 by richardtomsett
1
Why should I trust you?: Explaining the predictions of any classifier black-box interpretability heatmap not deep learning specific POST-HOC EXPLANATION saliency map visualization
#41 opened Jan 15, 2018 by richardtomsett
1
Show, attend and tell: Neural image caption generation with visual attention CNN LSTM POST-HOC EXPLANATION RNN textual description vision visualization
#40 opened Jan 15, 2018 by richardtomsett
1
Generating Visual Explanations CNN LSTM POST-HOC EXPLANATION RNN textual description vision
#38 opened Jan 15, 2018 by richardtomsett
1
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