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| {"DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 608, "last update": "2024-09-15"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 255, "last update": "2024-09-15"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 11, "last update": "2024-09-16"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 25, "last update": "2024-09-16"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 232, "last update": "2024-09-16"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 54, "last update": "2024-09-16"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1989, "last update": "2024-09-16"}, "Label-free Concept Bottleneck Models": {"citation": 104, "last update": "2024-09-16"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 141, "last update": "2024-09-16"}, "Editing a classifier by rewriting its prediction rules": {"citation": 73, "last update": "2024-09-16"}, "Concept Bottleneck Models": {"citation": 728, "last update": "2024-09-16"}, "Interactive Concept Bottleneck Models": {"citation": 41, "last update": "2024-09-16"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 80, "last update": "2024-09-16"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 50, "last update": "2024-09-16"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 343, "last update": "2024-09-16"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 159, "last update": "2024-09-16"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 7, "last update": "2024-09-16"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 529, "last update": "2024-09-16"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 125, "last update": "2024-09-16"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 146, "last update": "2024-09-16"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 749, "last update": "2024-09-16"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 252, "last update": "2024-09-16"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 770, "last update": "2024-09-16"}, "Deep Learning with Logical Constraints": {"citation": 63, "last update": "2024-09-16"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 5, "last update": "2024-09-16"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 236, "last update": "2024-09-16"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 22, "last update": "2024-09-16"}, "Rewriting a Deep Generative Model": {"citation": 124, "last update": "2024-09-16"}} | ||
| {"Harnessing Deep Neural Networks with Logic Rules": {"citation": 770, "last update": "2024-09-16"}, "Deep Learning with Logical Constraints": {"citation": 63, "last update": "2024-09-16"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 5, "last update": "2024-09-16"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 236, "last update": "2024-09-16"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 22, "last update": "2024-09-16"}, "Rewriting a Deep Generative Model": {"citation": 124, "last update": "2024-09-16"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 611, "last update": "2024-09-17"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 255, "last update": "2024-09-17"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 11, "last update": "2024-09-17"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 25, "last update": "2024-09-17"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 232, "last update": "2024-09-17"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 54, "last update": "2024-09-17"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1989, "last update": "2024-09-17"}, "Label-free Concept Bottleneck Models": {"citation": 104, "last update": "2024-09-17"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 142, "last update": "2024-09-17"}, "Editing a classifier by rewriting its prediction rules": {"citation": 73, "last update": "2024-09-17"}, "Concept Bottleneck Models": {"citation": 728, "last update": "2024-09-17"}, "Interactive Concept Bottleneck Models": {"citation": 41, "last update": "2024-09-17"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 80, "last update": "2024-09-17"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 50, "last update": "2024-09-17"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 343, "last update": "2024-09-17"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 159, "last update": "2024-09-17"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 7, "last update": "2024-09-17"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 529, "last update": "2024-09-17"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 125, "last update": "2024-09-17"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 147, "last update": "2024-09-17"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 749, "last update": "2024-09-17"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 252, "last update": "2024-09-17"}} |
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