prior knowledge

Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023 Integrating Prior Knowledge in Contrastive Learning with Kernel ICML 2023 Exact learning dynamics of deep linear networks with prior knowledge NeurIPS 2022 Exploring Fourier Prior for Single Image Rain Removal IJCAI 2022 KCRL: A Prior Knowledge Based Causal Discovery Framework with Reinforcement Learning MLHC 2022 Knowledge-Aware Bayesian Deep Topic Model NeurIPS 2022 On the benefits of maximum likelihood estimation for Regression and Forecasting ICLR 2022 On the Value of Prior in Online Learning to Rank AISTATS 2022 Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce AAAI 2022 BayLIME: Bayesian local interpretable model-agnostic explanations UAI 2021 Classification by Attention: Scene Graph Classification with Prior Knowledge AAAI 2021 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining IJCAI 2021 Evidence Aware Neural Pornographic Text Identification for Child Protection AAAI 2021 Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation CVPR 2021 From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics CoRL 2021 Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification AAAI 2021 Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System L4DC 2021 Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation WACV 2021 ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation NeurIPS 2021 Incorporating Interpretable Output Constraints in Bayesian Neural Networks NeurIPS 2020 Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity EMNLP 2020 Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge ICML 2020 Knowledge-Based Regularization in Generative Modeling IJCAI 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020 Label Enhancement for Label Distribution Learning via Prior Knowledge IJCAI 2020