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| {"Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 23, "last update": "2024-10-25"}, "Rewriting a Deep Generative Model": {"citation": 128, "last update": "2024-10-25"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 628, "last update": "2024-10-25"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 260, "last update": "2024-10-26"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 15, "last update": "2024-10-26"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 27, "last update": "2024-10-26"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 244, "last update": "2024-10-26"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 57, "last update": "2024-10-26"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 2059, "last update": "2024-10-26"}, "Label-free Concept Bottleneck Models": {"citation": 119, "last update": "2024-10-26"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 157, "last update": "2024-10-26"}, "Editing a classifier by rewriting its prediction rules": {"citation": 78, "last update": "2024-10-26"}, "Concept Bottleneck Models": {"citation": 790, "last update": "2024-10-26"}, "Interactive Concept Bottleneck Models": {"citation": 47, "last update": "2024-10-26"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 82, "last update": "2024-10-26"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 58, "last update": "2024-10-26"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 357, "last update": "2024-10-26"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 180, "last update": "2024-10-26"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 9, "last update": "2024-10-26"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 544, "last update": "2024-10-26"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 130, "last update": "2024-10-26"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 152, "last update": "2024-10-26"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 785, "last update": "2024-10-26"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 253, "last update": "2024-10-26"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 778, "last update": "2024-10-26"}, "Deep Learning with Logical Constraints": {"citation": 68, "last update": "2024-10-26"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 8, "last update": "2024-10-26"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 236, "last update": "2024-10-26"}} | ||
| {"Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 130, "last update": "2024-10-26"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 152, "last update": "2024-10-26"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 785, "last update": "2024-10-26"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 253, "last update": "2024-10-26"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 778, "last update": "2024-10-26"}, "Deep Learning with Logical Constraints": {"citation": 68, "last update": "2024-10-26"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 8, "last update": "2024-10-26"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 236, "last update": "2024-10-26"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 23, "last update": "2024-10-27"}, "Rewriting a Deep Generative Model": {"citation": 128, "last update": "2024-10-27"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 629, "last update": "2024-10-27"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 260, "last update": "2024-10-27"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 15, "last update": "2024-10-27"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 27, "last update": "2024-10-27"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 244, "last update": "2024-10-27"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 57, "last update": "2024-10-27"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 2062, "last update": "2024-10-27"}, "Label-free Concept Bottleneck Models": {"citation": 120, "last update": "2024-10-27"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 157, "last update": "2024-10-27"}, "Editing a classifier by rewriting its prediction rules": {"citation": 78, "last update": "2024-10-27"}, "Concept Bottleneck Models": {"citation": 791, "last update": "2024-10-27"}, "Interactive Concept Bottleneck Models": {"citation": 47, "last update": "2024-10-27"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 82, "last update": "2024-10-27"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 58, "last update": "2024-10-27"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 357, "last update": "2024-10-27"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 181, "last update": "2024-10-27"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 9, "last update": "2024-10-27"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 545, "last update": "2024-10-27"}} |
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