gradient matching

Sharpness-Aware Gradient Matching for Domain Generalization CVPR 2023 A Survey on Gradient Inversion: Attacks, Defenses and Future Directions IJCAI 2022 CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022 Dataset Condensation via Efficient Synthetic-Data Parameterization ICML 2022 Dataset Condensation with Contrastive Signals ICML 2022 Deep AutoAugment ICLR 2022 Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack NeurIPS 2022 Generalizing Few-Shot NAS with Gradient Matching ICLR 2022 Gradient Matching for Domain Generalization ICLR 2022 Graph Condensation for Graph Neural Networks ICLR 2022 Learning to Annotate Part Segmentation with Gradient Matching ICLR 2022 Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022 Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022 Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch NeurIPS 2022 Dataset Condensation with Gradient Matching ICLR 2021 Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models NeurIPS 2021 GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training ICML 2021 Scalable gradient matching based on state space Gaussian Processes ACML 2021 Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching ICLR 2021 Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019 Gradient Matching Generative Networks for Zero-Shot Learning CVPR 2019 Improving GAN with Neighbors Embedding and Gradient Matching AAAI 2019 Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching ICML 2016