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Interpretability

7,318 papers

Papers per year

Papers

“Devils Are in the Details”: Annotating Specificity of Clinical Advice from Medical Literature NAACL 2022
Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms NAACL 2022
Uncovering Surprising Event Boundaries in Narratives NAACL 2022
Evolvable Network Telemetry at Facebook NSDI 2022
DURINN: Adversarial Memory and Thread Interleaving for Detecting Durable Linearizability Bugs OSDI 2022
Debugging the OmniTable Way OSDI 2022
Relevance for Robust Bayesian Network MAP-Explanations PGM 2022
Explaining Deep Tractable Probabilistic Models: The sum-product network case PGM 2022
Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection PGM 2022
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes RSS 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving RSS 2022
HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models SEMEVAL 2022
NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity Detection SEMEVAL 2022
Mitra Behzadi at SemEval-2022 Task 5 : Multimedia Automatic Misogyny Identification method based on CLIP SEMEVAL 2022
DartmouthCS at SemEval-2022 Task 8: Predicting Multilingual News Article Similarity with Meta-Information and Translation SEMEVAL 2022
SemEval-2022 Task 9: R2VQ – Competence-based Multimodal Question Answering SEMEVAL 2022
SenPoi at SemEval-2022 Task 10: Point me to your Opinion, SenPoi SEMEVAL 2022
UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition SEMEVAL 2022
PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions SEMEVAL 2022
Counterfactual inference of second Opinions UAI 2022
Learning explainable templated graphical models UAI 2022
Fast predictive uncertainty for classification with Bayesian deep networks UAI 2022
If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness UAI 2022
Improved feature importance computation for tree models based on the Banzhaf value UAI 2022
CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs UAI 2022