model approximation

FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions AAAI 2026 Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NeurIPS 2024 Data curation via joint example selection further accelerates multimodal learning NeurIPS 2024 Online Planning in POMDPs with Self-Improving Simulators IJCAI 2022 Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks AAAI 2021 Efficient Explanations from Empirical Explainers EMNLP 2021 Network Approximation using Tensor Sketching IJCAI 2018 Learning Planar Ising Models JMLR 2016 Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation NeurIPS 2014 Why are DBNs sparse? AISTATS 2010 Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation JMLR 2006 Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored JMLR 2003