interpretable neural network

IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation EACL 2026 Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond AAAI 2026 Factor Graph-based Interpretable Neural Networks ICLR 2025 Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations AAAI 2025 SIC: Similarity-Based Interpretable Image Classification with Neural Networks ICCV 2025 Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models AAAI 2025 Finding Interpretable Class-Specific Patterns through Efficient Neural Search AAAI 2024 GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations AAAI 2024 Interpretable Mesomorphic Networks for Tabular Data NeurIPS 2024 Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean AISTATS 2024 Interactive Concept Bottleneck Models AAAI 2023 Unsupervised Keyphrase Extraction via Interpretable Neural Networks EACL 2023 Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings ICML 2022 Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space. ICLR 2022 A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits ICML 2020 DNU: Deep Non-Local Unrolling for Computational Spectral Imaging CVPR 2020 Word-Level Contextual Sentiment Analysis with Interpretability AAAI 2020 CNM: An Interpretable Complex-valued Network for Matching NAACL 2019 Towards Better Interpretability in Deep Q-Networks AAAI 2019 Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention IJCAI 2018 Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style EMNLP 2018