Interpretability

Negative Flux Aggregation to Estimate Feature Attributions IJCAI 2023 NeuPSL: Neural Probabilistic Soft Logic IJCAI 2023 Neural Architecture Design and Robustness: A Dataset ICLR 2023 Neural-based classification rule learning for sequential data ICLR 2023 Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis NeurIPS 2023 Neural Systematic Binder ICLR 2023 Neuro-Symbolic Learning of Answer Set Programs from Raw Data IJCAI 2023 Neuro-symbolic Learning Yielding Logical Constraints NeurIPS 2023 Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation EMNLP 2023 NeuroX Library for Neuron Analysis of Deep NLP Models ACL 2023 NewsSense: Reference-free Verification via Cross-document Comparison EMNLP 2023 NLMs: Augmenting Negation in Language Models EMNLP 2023 Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews Interspeech 2023 Nonparametric Teaching for Multiple Learners NeurIPS 2023 Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling AAAI 2023 Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts NeurIPS 2023 Not all quantifiers are equal: Probing Transformer-based language models’ understanding of generalised quantifiers EMNLP 2023 NxPlain: A Web-based Tool for Discovery of Latent Concepts EACL 2023 OCTET: Object-Aware Counterfactual Explanations CVPR 2023 OLEA: Tool and Infrastructure for Offensive Language Error Analysis in English EACL 2023 On Batch Teaching Without Collusion JMLR 2023 On Degrees of Freedom in Defining and Testing Natural Language Understanding ACL 2023 On double-descent in uncertainty quantification in overparametrized models AISTATS 2023 On Explaining Neural Network Robustness with Activation Path ICLR 2023 On Minimizing the Impact of Dataset Shifts on Actionable Explanations UAI 2023