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| {"Harnessing Deep Neural Networks with Logic Rules": {"citation": 761, "last update": "2024-07-17"}, "Deep Learning with Logical Constraints": {"citation": 59, "last update": "2024-07-17"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 2, "last update": "2024-07-17"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 233, "last update": "2024-07-17"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 22, "last update": "2024-07-17"}, "Rewriting a Deep Generative Model": {"citation": 120, "last update": "2024-07-17"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 586, "last update": "2024-07-17"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 245, "last update": "2024-07-17"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 9, "last update": "2024-07-17"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 22, "last update": "2024-07-17"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 215, "last update": "2024-07-17"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 51, "last update": "2024-07-17"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1897, "last update": "2024-07-17"}, "Label-free Concept Bottleneck Models": {"citation": 88, "last update": "2024-07-17"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 118, "last update": "2024-07-17"}, "Editing a classifier by rewriting its prediction rules": {"citation": 69, "last update": "2024-07-17"}, "Concept Bottleneck Models": {"citation": 672, "last update": "2024-07-17"}, "Interactive Concept Bottleneck Models": {"citation": 37, "last update": "2024-07-17"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 76, "last update": "2024-07-17"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 44, "last update": "2024-07-17"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 325, "last update": "2024-07-17"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 142, "last update": "2024-07-17"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 7, "last update": "2024-07-17"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 505, "last update": "2024-07-17"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 119, "last update": "2024-07-17"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 132, "last update": "2024-07-17"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 695, "last update": "2024-07-17"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 248, "last update": "2024-07-17"}} | ||
| {"POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 142, "last update": "2024-07-17"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 7, "last update": "2024-07-17"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 505, "last update": "2024-07-17"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 119, "last update": "2024-07-17"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 132, "last update": "2024-07-17"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 695, "last update": "2024-07-17"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 248, "last update": "2024-07-17"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 761, "last update": "2024-07-18"}, "Deep Learning with Logical Constraints": {"citation": 59, "last update": "2024-07-18"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 2, "last update": "2024-07-18"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 233, "last update": "2024-07-18"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 22, "last update": "2024-07-18"}, "Rewriting a Deep Generative Model": {"citation": 120, "last update": "2024-07-18"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 586, "last update": "2024-07-18"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 246, "last update": "2024-07-18"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 9, "last update": "2024-07-18"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 22, "last update": "2024-07-18"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 216, "last update": "2024-07-18"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 51, "last update": "2024-07-18"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1897, "last update": "2024-07-18"}, "Label-free Concept Bottleneck Models": {"citation": 89, "last update": "2024-07-18"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 119, "last update": "2024-07-18"}, "Editing a classifier by rewriting its prediction rules": {"citation": 69, "last update": "2024-07-18"}, "Concept Bottleneck Models": {"citation": 673, "last update": "2024-07-18"}, "Interactive Concept Bottleneck Models": {"citation": 37, "last update": "2024-07-18"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 76, "last update": "2024-07-18"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 44, "last update": "2024-07-18"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 325, "last update": "2024-07-18"}} |
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