Interpretability
8,292 papers
Papers per year
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28
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363
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1,688
2,137
671
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Papers
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling
CVPR 2023
Cardinality-Minimal Explanations for Monotonic Neural Networks
IJCAI 2023
Causal Interpretation of Self-Attention in Pre-Trained Transformers
NeurIPS 2023
Causal interventions expose implicit situation models for commonsense language understanding
ACL 2023
Causal Proxy Models for Concept-based Model Explanations
ICML 2023
CertiFair: A Framework for Certified Global Fairness of Neural Networks
AAAI 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming
L4DC 2023
Certifying Fairness of Probabilistic Circuits
AAAI 2023
Change is Hard: A Closer Look at Subpopulation Shift
ICML 2023
Characterizing intrinsic compositionality in transformers with Tree Projections
ICLR 2023
Characterizing Mechanisms for Factual Recall in Language Models
EMNLP 2023
Characterizing the Influence of Graph Elements
ICLR 2023
Character-Level Chinese Backpack Language Models
EMNLP 2023
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models
EMNLP 2023
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction
ACL 2023
CLAIR: Evaluating Image Captions with Large Language Models
EMNLP 2023
Class Attention Transfer Based Knowledge Distillation
CVPR 2023
Class-Conditional Conformal Prediction with Many Classes
NeurIPS 2023
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction
EMNLP 2023
CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension
EMNLP 2023
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
ICLR 2023
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently
WACV 2023
Cluster Explanation via Polyhedral Descriptions
ICML 2023
CNLP-NITS at SemEval-2023 Task 10: Online sexism prediction, PREDHATE!
SemEval 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP
ACL 2023