Interpretability
8,292 papers
Papers per year
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28
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363
512
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1,688
2,137
671
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Papers
Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models?
AACL 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
ICLR 2022
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark
ACL 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
ICML 2022
DURINN: Adversarial Memory and Thread Interleaving for Detecting Durable Linearizability Bugs
OSDI 2022
Dynamic Context Extraction for Citation Classification
AACL 2022
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5
EMNLP 2022
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
ICML 2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
NeurIPS 2022
Efficient Tactile Simulation with Differentiability for Robotic Manipulation
CoRL 2022
Emergent Structures and Training Dynamics in Large Language Models
ACL 2022
Emoji semantics/pragmatics: investigating commitment and lying
NAACL 2022
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks
Interspeech 2022
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference
EMNLP 2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
NAACL 2022
Entity-based Neural Local Coherence Modeling
ACL 2022
Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal
EMNLP 2022
Entropy-Based Logic Explanations of Neural Networks
AAAI 2022
Epistemic Logic of Likelihood and Belief
IJCAI 2022
EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers
ACL 2022
ER-Test: Evaluating Explanation Regularization Methods for Language Models
EMNLP 2022
Estimating Example Difficulty Using Variance of Gradients
CVPR 2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
AAAI 2022
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts
NeurIPS 2022
Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection
MLHC 2022