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| {"VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 217, "last update": "2024-07-30"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 51, "last update": "2024-07-30"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1933, "last update": "2024-07-30"}, "Label-free Concept Bottleneck Models": {"citation": 97, "last update": "2024-07-30"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 130, "last update": "2024-07-30"}, "Editing a classifier by rewriting its prediction rules": {"citation": 72, "last update": "2024-07-30"}, "Concept Bottleneck Models": {"citation": 694, "last update": "2024-07-31"}, "Interactive Concept Bottleneck Models": {"citation": 41, "last update": "2024-07-31"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 78, "last update": "2024-07-31"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 49, "last update": "2024-07-31"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 330, "last update": "2024-07-31"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 150, "last update": "2024-07-31"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 7, "last update": "2024-07-31"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 514, "last update": "2024-07-31"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 121, "last update": "2024-07-31"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 136, "last update": "2024-07-31"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 714, "last update": "2024-07-31"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 251, "last update": "2024-07-31"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 764, "last update": "2024-07-31"}, "Deep Learning with Logical Constraints": {"citation": 60, "last update": "2024-07-31"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 3, "last update": "2024-07-31"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 234, "last update": "2024-07-31"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 22, "last update": "2024-07-31"}, "Rewriting a Deep Generative Model": {"citation": 122, "last update": "2024-07-31"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 594, "last update": "2024-07-31"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 248, "last update": "2024-07-31"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 9, "last update": "2024-07-31"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 22, "last update": "2024-07-31"}} | ||
| {"Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 22, "last update": "2024-07-31"}, "Rewriting a Deep Generative Model": {"citation": 122, "last update": "2024-07-31"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 594, "last update": "2024-07-31"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 248, "last update": "2024-07-31"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 9, "last update": "2024-07-31"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 22, "last update": "2024-07-31"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 217, "last update": "2024-08-01"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 51, "last update": "2024-08-01"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1932, "last update": "2024-08-01"}, "Label-free Concept Bottleneck Models": {"citation": 98, "last update": "2024-08-01"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 131, "last update": "2024-08-01"}, "Editing a classifier by rewriting its prediction rules": {"citation": 72, "last update": "2024-08-01"}, "Concept Bottleneck Models": {"citation": 696, "last update": "2024-08-01"}, "Interactive Concept Bottleneck Models": {"citation": 41, "last update": "2024-08-01"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 78, "last update": "2024-08-01"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 49, "last update": "2024-08-01"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 331, "last update": "2024-08-01"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 150, "last update": "2024-08-01"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 7, "last update": "2024-08-01"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 514, "last update": "2024-08-01"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 121, "last update": "2024-08-01"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 136, "last update": "2024-08-01"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 713, "last update": "2024-08-01"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 251, "last update": "2024-08-01"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 764, "last update": "2024-08-01"}, "Deep Learning with Logical Constraints": {"citation": 60, "last update": "2024-08-01"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 3, "last update": "2024-08-01"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 234, "last update": "2024-08-01"}} |
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