Interpretability
8,292 papers
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Papers
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
EMNLP 2024
Faithful Chart Summarization with ChaTS-Pi
ACL 2024
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
ICLR 2024
Faithful Logical Reasoning via Symbolic Chain-of-Thought
ACL 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
AAAI 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations
EMNLP 2024
Faithfulness Measurable Masked Language Models
ICML 2024
Faithful Rule Extraction for Differentiable Rule Learning Models
ICLR 2024
Faithful Vision-Language Interpretation via Concept Bottleneck Models
ICLR 2024
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
EMNLP 2024
Faster Repeated Evasion Attacks in Tree Ensembles
NeurIPS 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
ICML 2024
Feature emergence via margin maximization: case studies in algebraic tasks
ICLR 2024
Feature Importance Disparities for Data Bias Investigations
ICML 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
NeurIPS 2024
Federated Self-Explaining GNNs with Anti-shortcut Augmentations
ICML 2024
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
NeurIPS 2024
Few-Shot Detection of Machine-Generated Text using Style Representations
ICLR 2024
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
NeurIPS 2024
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
CLeaR 2024
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers
ACL 2024
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists
EMNLP 2024
Finding Interpretable Class-Specific Patterns through Efficient Neural Search
AAAI 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
NeurIPS 2024
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
ICML 2024