Interpretability
512 papers
Papers per year
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Papers
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings
ACML 2023
Auxiliary Losses for Learning Generalizable Concept-based Models
NeurIPS 2023
Batchnorm Allows Unsupervised Radial Attacks
NeurIPS 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
NeurIPS 2023
Black-box language model explanation by context length probing
ACL 2023
Class based Influence Functions for Error Detection
ACL 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP
ACL 2023
Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model
ACL 2023
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
ACL 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
NeurIPS 2023
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
CVPR 2023
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
NeurIPS 2023
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods
ACL 2023
Efficient Shapley Values Estimation by Amortization for Text Classification
ACL 2023
Emptying the Ocean with a Spoon: Should We Edit Models?
EMNLP 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
NeurIPS 2023
Experimental Observations of the Topology of Convolutional Neural Network Activations
AAAI 2023
Explainable Brain Age Prediction using coVariance Neural Networks
NeurIPS 2023
Explaining How Transformers Use Context to Build Predictions
ACL 2023
Explaining Random Forests Using Bipolar Argumentation and Markov Networks
AAAI 2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition
CVPR 2023
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
AAAI 2023
IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding
EMNLP 2023
Incorporating Attribution Importance for Improving Faithfulness Metrics
ACL 2023
Initialization Noise in Image Gradients and Saliency Maps
CVPR 2023