Co-occurring keywords · papers mentioning both
Papers
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation
ACML 2023
Rigorously Assessing Natural Language Explanations of Neurons
EMNLP 2023
SEAT: Stable and Explainable Attention
AAAI 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
NeurIPS 2023
Towards a fuller understanding of neurons with Clustered Compositional Explanations
NeurIPS 2023
Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution
EMNLP 2023
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization
NeurIPS 2023
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
ICML 2022
Convergent Representations of Computer Programs in Human and Artificial Neural Networks
NeurIPS 2022
Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex
NeurIPS 2022
Expert-Informed, User-Centric Explanations for Machine Learning
AAAI 2022
HINT: Hierarchical Neuron Concept Explainer
CVPR 2022
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
ICML 2022
Language Models Understand Us, Poorly
EMNLP 2022
Locally Distributed Activation Vectors for Guided Feature Attribution
COLING 2022
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
AAAI 2022
Architecture Disentanglement for Deep Neural Networks
ICCV 2021
A Unified Taylor Framework for Revisiting Attribution Methods
AAAI 2021
Causal Abstractions of Neural Networks
NeurIPS 2021
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
ACL 2021
Does My Representation Capture X? Probe-Ably
ACL 2021
Explaining Local, Global, and Higher-Order Interactions in Deep Learning
ICCV 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
CVPR 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
AAAI 2021
Interpreting Super-Resolution Networks With Local Attribution Maps
CVPR 2021