Interpretable Deep Learning

Index	Papers	Our Slides
0	A survey on Interpreting Deep Learning Models	Eli Survey
	Interpretable Machine Learning: Definitions,Methods, Applications	Arsh Survey
1	Explaining Explanations: Axiomatic Feature Interactions for Deep Networks	Arsh Survey
2	Shapley Value review	Arsh Survey
	L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data	Bill Survey
	Consistent Individualized Feature Attribution for Tree Ensembles	bill Survey
	Summary for A value for n-person games	Pan Survey
	L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data	Rishab Survey
3	Hierarchical Interpretations of Neural Network Predictions	Arsh Survey
	Hierarchical Interpretations of Neural Network Predictions	Rishab Survey
4	Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs	Arsh Survey
	Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs	Rishab Survey
5	Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models	Rishab Survey
		Sanchit Survey
	Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection	Sanchit Survey
6	This Looks Like That: Deep Learning for Interpretable Image Recognition	Pan Survey
7	AllenNLP Interpret	Rishab Survey
8	DISCOVERY OF NATURAL LANGUAGE CONCEPTS IN INDIVIDUAL UNITS OF CNNs	Rishab Survey
9	How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations	Rishab Survey
10	Attention is not Explanation	Sanchit Survey
		Pan Survey
11	Axiomatic Attribution for Deep Networks	Sanchit Survey
12	Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization	Sanchit Survey
13	Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifier	Sanchit Survey
14	“Why Should I Trust You?”Explaining the Predictions of Any Classifier	Yu Survey
15	INTERPRETATIONS ARE USEFUL: PENALIZING EXPLANATIONS TO ALIGN NEURAL NETWORKS WITH PRIOR KNOWLEDGE	Pan Survey