prior knowledge

Learning Deep Attribution Priors Based On Prior Knowledge NeurIPS 2020 Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract) AAAI 2020 Structured Mechanical Models for Robot Learning and Control L4DC 2020 Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions UAI 2019 Face Video Deblurring Using 3D Facial Priors ICCV 2019 Incorporating Priors with Feature Attribution on Text Classification ACL 2019 Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations IJCAI 2019 Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge NeurIPS 2019 Bayesian Network Structure Learning with Side Constraints PGM 2018 Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction Interspeech 2018 Learning from the experts: From expert systems to machine-learned diagnosis models MLHC 2018 Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid IJCAI 2018 Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content Measurement EACL 2017 Learning Word Representations with Regularization from Prior Knowledge CoNLL 2017 State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction RSS 2014 Learning with Target Prior NeurIPS 2012 Transductive Learning of Structural SVMs via Prior Knowledge Constraints AISTATS 2012 Individuation, Identification and Object Discovery NeurIPS 2009 Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data JMLR 2009 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 Clustering Under Prior Knowledge with Application to Image Segmentation NeurIPS 2006 On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006 Knowledge-Based Kernel Approximation JMLR 2004