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| {"A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 473, "last update": "2024-05-15"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 114, "last update": "2024-05-15"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 122, "last update": "2024-05-15"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 637, "last update": "2024-05-15"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 241, "last update": "2024-05-15"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 749, "last update": "2024-05-15"}, "Deep Learning with Logical Constraints": {"citation": 53, "last update": "2024-05-15"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 0, "last update": "2024-05-16"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 230, "last update": "2024-05-16"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 19, "last update": "2024-05-16"}, "Rewriting a Deep Generative Model": {"citation": 110, "last update": "2024-05-16"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 557, "last update": "2024-05-16"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 239, "last update": "2024-05-16"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 4, "last update": "2024-05-16"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 16, "last update": "2024-05-16"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 201, "last update": "2024-05-16"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 45, "last update": "2024-05-16"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1803, "last update": "2024-05-16"}, "Label-free Concept Bottleneck Models": {"citation": 61, "last update": "2024-05-16"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 87, "last update": "2024-05-16"}, "Editing a classifier by rewriting its prediction rules": {"citation": 64, "last update": "2024-05-16"}, "Concept Bottleneck Models": {"citation": 602, "last update": "2024-05-16"}, "Interactive Concept Bottleneck Models": {"citation": 30, "last update": "2024-05-16"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 64, "last update": "2024-05-16"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 34, "last update": "2024-05-16"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 308, "last update": "2024-05-16"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 117, "last update": "2024-05-16"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 6, "last update": "2024-05-16"}} | ||
| {"Concept Bottleneck Models": {"citation": 602, "last update": "2024-05-16"}, "Interactive Concept Bottleneck Models": {"citation": 30, "last update": "2024-05-16"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 64, "last update": "2024-05-16"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 34, "last update": "2024-05-16"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 308, "last update": "2024-05-16"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 117, "last update": "2024-05-16"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 6, "last update": "2024-05-16"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 473, "last update": "2024-05-17"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 114, "last update": "2024-05-17"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 122, "last update": "2024-05-17"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 643, "last update": "2024-05-17"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 241, "last update": "2024-05-17"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 749, "last update": "2024-05-17"}, "Deep Learning with Logical Constraints": {"citation": 53, "last update": "2024-05-17"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 0, "last update": "2024-05-17"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 230, "last update": "2024-05-17"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 19, "last update": "2024-05-17"}, "Rewriting a Deep Generative Model": {"citation": 110, "last update": "2024-05-17"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 557, "last update": "2024-05-17"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 239, "last update": "2024-05-17"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 4, "last update": "2024-05-17"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 16, "last update": "2024-05-17"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 201, "last update": "2024-05-17"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 46, "last update": "2024-05-17"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1803, "last update": "2024-05-17"}, "Label-free Concept Bottleneck Models": {"citation": 61, "last update": "2024-05-17"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 88, "last update": "2024-05-17"}, "Editing a classifier by rewriting its prediction rules": {"citation": 64, "last update": "2024-05-17"}} |
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