data compression

Compressing multidimensional weather and climate data into neural networks ICLR 2023 Compressing Tabular Data via Latent Variable Estimation ICML 2023 Greedy Poisson Rejection Sampling NeurIPS 2023 Improved Distribution Matching for Dataset Condensation CVPR 2023 “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors ACL 2023 Reinforcement Learning with Simple Sequence Priors NeurIPS 2023 Slimmable Dataset Condensation CVPR 2023 TINC: Tree-Structured Implicit Neural Compression CVPR 2023 Too Large; Data Reduction for Vision-Language Pre-Training ICCV 2023 Memory Replay with Data Compression for Continual Learning ICLR 2022 Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks NeurIPS 2022 Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations NeurIPS 2022 A Novel Sequential Coreset Method for Gradient Descent Algorithms ICML 2021 Data Sharing and Compression for Cooperative Networked Control NeurIPS 2021 Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract) AAAI 2021 Integer Networks for Data Compression with Latent-Variable Models ICLR 2019 Random Projections with Asymmetric Quantization NeurIPS 2019 Toward Efficient Navigation of Massive-Scale Geo-Textual Streams IJCAI 2019 On Coresets for Logistic Regression NeurIPS 2018 The Impact of Typicality for Informative Representative Selection CVPR 2017 Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data ICML 2017 Robust PCA with compressed data NeurIPS 2015 Stochastic Neighbor Compression ICML 2014 Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Tight Bounds on Profile Redundancy and Distinguishability NeurIPS 2012