[Citation-Bot] update citation automatically

.github/citation/citation.json

@@ -1 +1 @@
-{"DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 577, "last update": "2024-06-30"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 242, "last update": "2024-06-30"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 8, "last update": "2024-07-01"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 21, "last update": "2024-07-01"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 211, "last update": "2024-07-01"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 51, "last update": "2024-07-01"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1881, "last update": "2024-07-01"}, "Label-free Concept Bottleneck Models": {"citation": 85, "last update": "2024-07-01"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 115, "last update": "2024-07-01"}, "Editing a classifier by rewriting its prediction rules": {"citation": 67, "last update": "2024-07-01"}, "Concept Bottleneck Models": {"citation": 660, "last update": "2024-07-01"}, "Interactive Concept Bottleneck Models": {"citation": 35, "last update": "2024-07-01"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 73, "last update": "2024-07-01"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 40, "last update": "2024-07-01"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 318, "last update": "2024-07-01"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 136, "last update": "2024-07-01"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 6, "last update": "2024-07-01"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 500, "last update": "2024-07-01"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 118, "last update": "2024-07-01"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 129, "last update": "2024-07-01"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 684, "last update": "2024-07-01"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 248, "last update": "2024-07-01"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 759, "last update": "2024-07-01"}, "Deep Learning with Logical Constraints": {"citation": 56, "last update": "2024-07-01"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 1, "last update": "2024-07-01"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 232, "last update": "2024-07-01"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 22, "last update": "2024-07-01"}, "Rewriting a Deep Generative Model": {"citation": 117, "last update": "2024-07-01"}}
+{"A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 1, "last update": "2024-07-01"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 232, "last update": "2024-07-01"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 22, "last update": "2024-07-01"}, "Rewriting a Deep Generative Model": {"citation": 117, "last update": "2024-07-01"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 579, "last update": "2024-07-04"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 244, "last update": "2024-07-04"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 8, "last update": "2024-07-04"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 21, "last update": "2024-07-04"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 211, "last update": "2024-07-04"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 51, "last update": "2024-07-04"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1885, "last update": "2024-07-04"}, "Label-free Concept Bottleneck Models": {"citation": 85, "last update": "2024-07-04"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 115, "last update": "2024-07-04"}, "Editing a classifier by rewriting its prediction rules": {"citation": 67, "last update": "2024-07-04"}, "Concept Bottleneck Models": {"citation": 661, "last update": "2024-07-04"}, "Interactive Concept Bottleneck Models": {"citation": 36, "last update": "2024-07-04"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 74, "last update": "2024-07-04"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 41, "last update": "2024-07-04"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 321, "last update": "2024-07-04"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 137, "last update": "2024-07-04"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 6, "last update": "2024-07-04"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 502, "last update": "2024-07-04"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 118, "last update": "2024-07-04"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 129, "last update": "2024-07-04"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 687, "last update": "2024-07-04"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 248, "last update": "2024-07-04"}, "Harnessing Deep Neural Networks with Logic Rules": {"citation": 760, "last update": "2024-07-04"}, "Deep Learning with Logical Constraints": {"citation": 56, "last update": "2024-07-04"}}