conftrace_

prior knowledge

65 papers

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reinforcement learning (4352) kernel methods (1097) large language model (13587) neural network (6616) text classification (6793) bayesian inference (1907) generative model (2892) diffusion model (3751) generative adversarial network (1944) bayesian neural network (201)

Papers

Exact learning dynamics of deep linear networks with prior knowledge NIPS 2022
Knowledge-Aware Bayesian Deep Topic Model NIPS 2022
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System L4DC 2021
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining IJCAI 2021
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation NIPS 2021
UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning IJCNLP 2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation CVPR 2021
Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification AAAI 2021
Classification by Attention: Scene Graph Classification with Prior Knowledge AAAI 2021
From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics CORL 2021
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation WACV 2021
BayLIME: Bayesian local interpretable model-agnostic explanations UAI 2021
Evidence Aware Neural Pornographic Text Identification for Child Protection AAAI 2021
Knowledge-Based Regularization in Generative Modeling IJCAI 2020
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge ICML 2020
Structured Mechanical Models for Robot Learning and Control L4DC 2020
Label Enhancement for Label Distribution Learning via Prior Knowledge IJCAI 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks NIPS 2020
Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity EMNLP 2020
Learning Deep Attribution Priors Based On Prior Knowledge NIPS 2020
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract) AAAI 2020
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations IJCAI 2019
Face Video Deblurring Using 3D Facial Priors ICCV 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions UAI 2019