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| {"Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 230, "last update": "2024-05-04"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 19, "last update": "2024-05-04"}, "Rewriting a Deep Generative Model": {"citation": 108, "last update": "2024-05-04"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 553, "last update": "2024-05-04"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 239, "last update": "2024-05-04"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 4, "last update": "2024-05-04"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 14, "last update": "2024-05-04"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 195, "last update": "2024-05-04"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 44, "last update": "2024-05-04"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1785, "last update": "2024-05-04"}, "Label-free Concept Bottleneck Models": {"citation": 57, "last update": "2024-05-04"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 84, "last update": "2024-05-04"}, "Editing a classifier by rewriting its prediction rules": {"citation": 63, "last update": "2024-05-04"}, "Concept Bottleneck Models": {"citation": 590, "last update": "2024-05-04"}, "Interactive Concept Bottleneck Models": {"citation": 28, "last update": "2024-05-04"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 63, "last update": "2024-05-04"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 31, "last update": "2024-05-04"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 307, "last update": "2024-05-04"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 113, "last update": "2024-05-04"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 5, "last update": "2024-05-04"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 471, "last update": "2024-05-04"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 114, "last update": "2024-05-04"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 118, "last update": "2024-05-04"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 627, "last update": "2024-05-04"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 241, "last update": "2024-05-04"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 744, "last update": "2024-05-04"}, "Deep Learning with Logical Constraints": {"citation": 51, "last update": "2024-05-04"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 0, "last update": "2024-05-04"}} | ||
| {"A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 118, "last update": "2024-05-04"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 627, "last update": "2024-05-04"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 241, "last update": "2024-05-04"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 744, "last update": "2024-05-04"}, "Deep Learning with Logical Constraints": {"citation": 51, "last update": "2024-05-04"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 0, "last update": "2024-05-04"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 230, "last update": "2024-05-05"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 19, "last update": "2024-05-05"}, "Rewriting a Deep Generative Model": {"citation": 109, "last update": "2024-05-05"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 553, "last update": "2024-05-05"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 239, "last update": "2024-05-05"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 4, "last update": "2024-05-05"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 14, "last update": "2024-05-05"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 195, "last update": "2024-05-05"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 44, "last update": "2024-05-05"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1787, "last update": "2024-05-05"}, "Label-free Concept Bottleneck Models": {"citation": 58, "last update": "2024-05-05"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 85, "last update": "2024-05-05"}, "Editing a classifier by rewriting its prediction rules": {"citation": 63, "last update": "2024-05-05"}, "Concept Bottleneck Models": {"citation": 593, "last update": "2024-05-05"}, "Interactive Concept Bottleneck Models": {"citation": 29, "last update": "2024-05-05"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 64, "last update": "2024-05-05"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 32, "last update": "2024-05-05"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 306, "last update": "2024-05-05"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 114, "last update": "2024-05-05"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 5, "last update": "2024-05-05"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 471, "last update": "2024-05-05"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 114, "last update": "2024-05-05"}} |
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