Co-occurring keywords · papers mentioning both
Papers
Surprisingly Strong Performance Prediction with Neural Graph Features
ICML 2024
Towards Compositionality in Concept Learning
ICML 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
ICML 2024
Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis
MIDL 2024
What is Dataset Distillation Learning?
ICML 2024
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
ACL 2023
A Psychological Theory of Explainability
ICML 2022
On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation
CoNLL 2022
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
ICML 2021
NBDT: Neural-Backed Decision Tree
ICLR 2021
A Novel Framework for Robustness Analysis of Visual QA Models
AAAI 2019
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
ICLR 2019
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
ICML 2018
Large-Scale Sparse Principal Component Analysis with Application to Text Data
NeurIPS 2011
Reading Tea Leaves: How Humans Interpret Topic Models
NeurIPS 2009